In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
!pip install matplotlib==2.0.2
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Collecting matplotlib==2.0.2
Using cached https://files.pythonhosted.org/packages/2c/69/362c0a5eca37225c7d451e6c57f07c4fee85a5b6cb3aedf16fe649f411ea/matplotlib-2.0.2-cp27-cp27mu-manylinux1_x86_64.whl
Requirement already satisfied: subprocess32 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: pytz in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: six>=1.10 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: functools32 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: python-dateutil in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Requirement already satisfied: numpy>=1.7.1 in /usr/local/lib/python2.7/dist-packages (from matplotlib==2.0.2)
Installing collected packages: matplotlib
Found existing installation: matplotlib 2.1.0
Uninstalling matplotlib-2.1.0:
Exception:
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/pip/basecommand.py", line 215, in main
status = self.run(options, args)
File "/usr/local/lib/python2.7/dist-packages/pip/commands/install.py", line 342, in run
prefix=options.prefix_path,
File "/usr/local/lib/python2.7/dist-packages/pip/req/req_set.py", line 778, in install
requirement.uninstall(auto_confirm=True)
File "/usr/local/lib/python2.7/dist-packages/pip/req/req_install.py", line 754, in uninstall
paths_to_remove.remove(auto_confirm)
File "/usr/local/lib/python2.7/dist-packages/pip/req/req_uninstall.py", line 115, in remove
renames(path, new_path)
File "/usr/local/lib/python2.7/dist-packages/pip/utils/__init__.py", line 267, in renames
shutil.move(old, new)
File "/usr/lib/python2.7/shutil.py", line 303, in move
os.unlink(src)
OSError: [Errno 13] Permission denied: '/usr/local/lib/python2.7/dist-packages/matplotlib-2.1.0-py2.7-nspkg.pth'
You are using pip version 9.0.1, however version 18.0 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Found mnist Data
Found celeba Data
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
<matplotlib.image.AxesImage at 0x7f312056a128>
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
<matplotlib.image.AxesImage at 0x7f3120498978>
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.
The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).
You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputsdiscriminatorgeneratormodel_lossmodel_opttrainThis will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0 Default GPU Device: /gpu:0
Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width, image_height, and image_channels.z_dim.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
inputs = tf.placeholder(tf.float32, [None, image_width, image_height, image_channels],name='inputs')
z = tf.placeholder(tf.float32, [None,z_dim], name='z')
learning_rate = tf.placeholder(tf.float32, None, name='learning_rate')
return (inputs, z, learning_rate)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False,alpha=0.1):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
with tf.variable_scope('discriminator',reuse=reuse):
#input is (28,28,3) ((28,28,1) in Mnist)
conv1 = tf.layers.conv2d(images,128,5,strides=2,padding='same')
#conv1 = tf.layers.batch_normalization(conv1,training=True) *no normalization in first layer
conv1 = tf.maximum(alpha * conv1, conv1)
#shape is (14,14,128)
conv2 = tf.layers.conv2d(conv1,256,5,strides=2,padding='same')
conv2 = tf.layers.batch_normalization(conv2,training=True)
conv2 = tf.layers.dropout(conv2,0.2)
conv2 = tf.maximum(alpha * conv2, conv2)
#shape is (7,7,256)
conv3 = tf.layers.conv2d(conv2,512,5,strides=2,padding='same')
conv3 = tf.layers.batch_normalization(conv3,training=True)
conv3 = tf.layers.dropout(conv3,0.2)
conv3 = tf.maximum(alpha * conv3, conv3)
#shape is (4,4,512)
layer = tf.reshape(conv3,(-1,4*4*512))
logits = tf.layers.dense(layer,1)
out = tf.sigmoid(logits)
return logits, out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed
Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.
def generator(z, out_channel_dim, is_train=True, alpha=0.1):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
with tf.variable_scope('generator',reuse=(not is_train)):
#z is 1d vector
x1 = tf.layers.dense(z,2*2*1024)
#x1 = tf.layers.dropout(x1, 0.2)
x1 = tf.reshape(x1,(-1,2,2,1024))
x1 = tf.layers.batch_normalization(x1,training=is_train)
x1 = tf.layers.dropout(x1,0.2)
x1 = tf.maximum(alpha * x1, x1)
#shape is (2,2,1024)
x2 = tf.layers.conv2d_transpose(x1, 512, 5, strides=2, padding='same')
x2 = tf.layers.batch_normalization(x2,training=is_train)
x2 = tf.layers.dropout(x2,0.2)
x2 = tf.maximum(alpha * x2, x2)
#shape is (4,4,512)
x3 = tf.layers.conv2d_transpose(x2, 256, 4, strides=1, padding='valid')
x3 = tf.layers.batch_normalization(x3,training=is_train)
x3 = tf.layers.dropout(x3,0.2)
x3 = tf.maximum(alpha * x3, x3)
#shape is (7,7,256)
x4 = tf.layers.conv2d_transpose(x3, 128, 5, strides=2, padding='same')
x4 = tf.layers.batch_normalization(x4,training=is_train)
x4 = tf.maximum(alpha * x4, x4)
#shape is (14,14,512)
logits = tf.layers.conv2d_transpose(x4, out_channel_dim, 5, strides=2, padding='same')
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed
Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)generator(z, out_channel_dim, is_train=True)def model_loss(input_real, input_z, out_channel_dim, alpha=0.1):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
g_out = generator(input_z,out_channel_dim,alpha=alpha,is_train=True)
d_real_logits, d_real_out = discriminator(input_real, reuse=False, alpha=alpha)
d_fake_logits, d_fake_out = discriminator(g_out, reuse=True, alpha=alpha)
d_real_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_real_logits,labels=tf.ones_like(d_real_logits)))
d_fake_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_fake_logits,labels=tf.zeros_like(d_fake_logits)))
d_loss = d_real_loss + d_fake_loss
g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_fake_logits,labels=tf.ones_like(d_fake_logits)))
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed
Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
variables = tf.trainable_variables()
d_variables = [var for var in variables if var.name.startswith('discriminator')]
g_variables = [var for var in variables if var.name.startswith('generator')]
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_variables)
g_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_variables)
return d_opt, g_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)model_loss(input_real, input_z, out_channel_dim)model_opt(d_loss, g_loss, learning_rate, beta1)Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.
import time
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode, alpha = 0.1):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
image_channels=1 if data_image_mode=='L' else 3
input_real, input_z, learningrate = model_inputs(data_shape[1],data_shape[2],image_channels,z_dim)
d_loss,g_loss = model_loss(input_real,input_z,image_channels,alpha=alpha)
d_opt, g_opt = model_opt(d_loss, g_loss, learningrate, beta1)
saver = tf.train.Saver()
losses = []
start_time = time.time()
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
steps=0
for batch_images in get_batches(batch_size):
steps+=1
batch_images = batch_images *2 # change to -1 ~ 1
batch_z = np.random.uniform(-1,1,size=(batch_size,z_dim))
_ = sess.run(d_opt, feed_dict = {input_real:batch_images, input_z:batch_z, learningrate:learning_rate})
_ = sess.run(g_opt, feed_dict = {input_real:batch_images,input_z:batch_z, learningrate:learning_rate})
_ = sess.run(g_opt, feed_dict = {input_real:batch_images,input_z:batch_z, learningrate:learning_rate})
if steps%10 == 0:
train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
train_loss_g = g_loss.eval({input_z: batch_z})
print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
"Batch {}/{}".format(steps,data_shape[0]/int(batch_size)),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
losses.append((train_loss_d, train_loss_g))
if steps%100 == 0:
show_generator_output(sess,25,input_z,image_channels,data_image_mode)
saver.save(sess, './checkpoints/generator.ckpt')
duration = time.time() - start_time
return losses, duration
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 128
learning_rate = 0.003
beta1 = 0.6
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Batch 10/937.5 Discriminator Loss: 1.4873... Generator Loss: 10.4977 Epoch 1/2... Batch 20/937.5 Discriminator Loss: 0.0789... Generator Loss: 11.5394 Epoch 1/2... Batch 30/937.5 Discriminator Loss: 0.9341... Generator Loss: 2.9322 Epoch 1/2... Batch 40/937.5 Discriminator Loss: 1.9763... Generator Loss: 0.9175 Epoch 1/2... Batch 50/937.5 Discriminator Loss: 2.1676... Generator Loss: 0.2520 Epoch 1/2... Batch 60/937.5 Discriminator Loss: 1.3444... Generator Loss: 1.0609 Epoch 1/2... Batch 70/937.5 Discriminator Loss: 2.9204... Generator Loss: 0.0693 Epoch 1/2... Batch 80/937.5 Discriminator Loss: 2.4457... Generator Loss: 0.7875 Epoch 1/2... Batch 90/937.5 Discriminator Loss: 4.1518... Generator Loss: 0.0234 Epoch 1/2... Batch 100/937.5 Discriminator Loss: 0.9666... Generator Loss: 1.8574
Epoch 1/2... Batch 110/937.5 Discriminator Loss: 1.5912... Generator Loss: 1.5546 Epoch 1/2... Batch 120/937.5 Discriminator Loss: 1.6894... Generator Loss: 9.0620 Epoch 1/2... Batch 130/937.5 Discriminator Loss: 1.0768... Generator Loss: 0.5673 Epoch 1/2... Batch 140/937.5 Discriminator Loss: 2.2680... Generator Loss: 1.3141 Epoch 1/2... Batch 150/937.5 Discriminator Loss: 1.2830... Generator Loss: 9.6682 Epoch 1/2... Batch 160/937.5 Discriminator Loss: 1.0028... Generator Loss: 1.5470 Epoch 1/2... Batch 170/937.5 Discriminator Loss: 0.3539... Generator Loss: 2.5996 Epoch 1/2... Batch 180/937.5 Discriminator Loss: 1.4464... Generator Loss: 0.7808 Epoch 1/2... Batch 190/937.5 Discriminator Loss: 2.9499... Generator Loss: 0.2498 Epoch 1/2... Batch 200/937.5 Discriminator Loss: 2.0959... Generator Loss: 0.2851
Epoch 1/2... Batch 210/937.5 Discriminator Loss: 2.0707... Generator Loss: 1.0712 Epoch 1/2... Batch 220/937.5 Discriminator Loss: 0.2891... Generator Loss: 1.8029 Epoch 1/2... Batch 230/937.5 Discriminator Loss: 0.2742... Generator Loss: 4.3543 Epoch 1/2... Batch 240/937.5 Discriminator Loss: 0.7259... Generator Loss: 0.8364 Epoch 1/2... Batch 250/937.5 Discriminator Loss: 0.9043... Generator Loss: 5.7396 Epoch 1/2... Batch 260/937.5 Discriminator Loss: 2.9697... Generator Loss: 3.5579 Epoch 1/2... Batch 270/937.5 Discriminator Loss: 0.5121... Generator Loss: 1.5424 Epoch 1/2... Batch 280/937.5 Discriminator Loss: 3.2084... Generator Loss: 0.0955 Epoch 1/2... Batch 290/937.5 Discriminator Loss: 0.7774... Generator Loss: 4.0743 Epoch 1/2... Batch 300/937.5 Discriminator Loss: 0.4631... Generator Loss: 5.0264
Epoch 1/2... Batch 310/937.5 Discriminator Loss: 0.9330... Generator Loss: 2.3301 Epoch 1/2... Batch 320/937.5 Discriminator Loss: 1.5297... Generator Loss: 1.7190 Epoch 1/2... Batch 330/937.5 Discriminator Loss: 0.8513... Generator Loss: 1.5190 Epoch 1/2... Batch 340/937.5 Discriminator Loss: 0.8325... Generator Loss: 2.4536 Epoch 1/2... Batch 350/937.5 Discriminator Loss: 0.7937... Generator Loss: 1.4989 Epoch 1/2... Batch 360/937.5 Discriminator Loss: 1.1520... Generator Loss: 1.3396 Epoch 1/2... Batch 370/937.5 Discriminator Loss: 0.8359... Generator Loss: 0.9807 Epoch 1/2... Batch 380/937.5 Discriminator Loss: 1.0989... Generator Loss: 1.6899 Epoch 1/2... Batch 390/937.5 Discriminator Loss: 1.3080... Generator Loss: 0.5272 Epoch 1/2... Batch 400/937.5 Discriminator Loss: 0.7330... Generator Loss: 1.2535
Epoch 1/2... Batch 410/937.5 Discriminator Loss: 0.7898... Generator Loss: 2.0798 Epoch 1/2... Batch 420/937.5 Discriminator Loss: 2.2841... Generator Loss: 0.1873 Epoch 1/2... Batch 430/937.5 Discriminator Loss: 0.8764... Generator Loss: 0.9488 Epoch 1/2... Batch 440/937.5 Discriminator Loss: 2.1357... Generator Loss: 0.2803 Epoch 1/2... Batch 450/937.5 Discriminator Loss: 2.6818... Generator Loss: 1.5785 Epoch 1/2... Batch 460/937.5 Discriminator Loss: 1.1709... Generator Loss: 1.9969 Epoch 1/2... Batch 470/937.5 Discriminator Loss: 0.6695... Generator Loss: 1.3704 Epoch 1/2... Batch 480/937.5 Discriminator Loss: 0.7698... Generator Loss: 0.9434 Epoch 1/2... Batch 490/937.5 Discriminator Loss: 1.4701... Generator Loss: 0.4148 Epoch 1/2... Batch 500/937.5 Discriminator Loss: 0.7576... Generator Loss: 1.1842
Epoch 1/2... Batch 510/937.5 Discriminator Loss: 0.9066... Generator Loss: 0.9441 Epoch 1/2... Batch 520/937.5 Discriminator Loss: 1.4286... Generator Loss: 0.4845 Epoch 1/2... Batch 530/937.5 Discriminator Loss: 1.1102... Generator Loss: 2.2303 Epoch 1/2... Batch 540/937.5 Discriminator Loss: 1.2433... Generator Loss: 0.5920 Epoch 1/2... Batch 550/937.5 Discriminator Loss: 1.4153... Generator Loss: 1.7773 Epoch 1/2... Batch 560/937.5 Discriminator Loss: 1.0957... Generator Loss: 2.2232 Epoch 1/2... Batch 570/937.5 Discriminator Loss: 1.2898... Generator Loss: 1.2640 Epoch 1/2... Batch 580/937.5 Discriminator Loss: 1.1635... Generator Loss: 1.2399 Epoch 1/2... Batch 590/937.5 Discriminator Loss: 1.0245... Generator Loss: 0.8148 Epoch 1/2... Batch 600/937.5 Discriminator Loss: 1.2484... Generator Loss: 0.6608
Epoch 1/2... Batch 610/937.5 Discriminator Loss: 0.8211... Generator Loss: 0.9220 Epoch 1/2... Batch 620/937.5 Discriminator Loss: 1.3116... Generator Loss: 1.1024 Epoch 1/2... Batch 630/937.5 Discriminator Loss: 1.0454... Generator Loss: 1.8178 Epoch 1/2... Batch 640/937.5 Discriminator Loss: 1.4739... Generator Loss: 0.4555 Epoch 1/2... Batch 650/937.5 Discriminator Loss: 1.0765... Generator Loss: 0.8824 Epoch 1/2... Batch 660/937.5 Discriminator Loss: 1.7769... Generator Loss: 2.1706 Epoch 1/2... Batch 670/937.5 Discriminator Loss: 1.1123... Generator Loss: 0.7004 Epoch 1/2... Batch 680/937.5 Discriminator Loss: 1.9762... Generator Loss: 0.2004 Epoch 1/2... Batch 690/937.5 Discriminator Loss: 1.4269... Generator Loss: 1.0431 Epoch 1/2... Batch 700/937.5 Discriminator Loss: 0.9614... Generator Loss: 0.6754
Epoch 1/2... Batch 710/937.5 Discriminator Loss: 0.7843... Generator Loss: 1.3666 Epoch 1/2... Batch 720/937.5 Discriminator Loss: 1.2292... Generator Loss: 0.7885 Epoch 1/2... Batch 730/937.5 Discriminator Loss: 1.4557... Generator Loss: 0.4793 Epoch 1/2... Batch 740/937.5 Discriminator Loss: 1.2728... Generator Loss: 0.8177 Epoch 1/2... Batch 750/937.5 Discriminator Loss: 1.0093... Generator Loss: 1.9030 Epoch 1/2... Batch 760/937.5 Discriminator Loss: 1.0415... Generator Loss: 0.7915 Epoch 1/2... Batch 770/937.5 Discriminator Loss: 1.0996... Generator Loss: 1.4395 Epoch 1/2... Batch 780/937.5 Discriminator Loss: 0.8402... Generator Loss: 1.0362 Epoch 1/2... Batch 790/937.5 Discriminator Loss: 1.4281... Generator Loss: 2.2084 Epoch 1/2... Batch 800/937.5 Discriminator Loss: 1.2055... Generator Loss: 0.6637
Epoch 1/2... Batch 810/937.5 Discriminator Loss: 1.4896... Generator Loss: 0.3970 Epoch 1/2... Batch 820/937.5 Discriminator Loss: 1.2586... Generator Loss: 2.0728 Epoch 1/2... Batch 830/937.5 Discriminator Loss: 1.1488... Generator Loss: 1.8982 Epoch 1/2... Batch 840/937.5 Discriminator Loss: 1.4225... Generator Loss: 0.4159 Epoch 1/2... Batch 850/937.5 Discriminator Loss: 0.8088... Generator Loss: 1.5711 Epoch 1/2... Batch 860/937.5 Discriminator Loss: 2.5942... Generator Loss: 0.1135 Epoch 1/2... Batch 870/937.5 Discriminator Loss: 1.2077... Generator Loss: 0.7404 Epoch 1/2... Batch 880/937.5 Discriminator Loss: 1.0890... Generator Loss: 1.7079 Epoch 1/2... Batch 890/937.5 Discriminator Loss: 1.6620... Generator Loss: 0.3674 Epoch 1/2... Batch 900/937.5 Discriminator Loss: 1.7578... Generator Loss: 0.2661
Epoch 1/2... Batch 910/937.5 Discriminator Loss: 1.2208... Generator Loss: 0.8694 Epoch 1/2... Batch 920/937.5 Discriminator Loss: 1.6735... Generator Loss: 0.3131 Epoch 1/2... Batch 930/937.5 Discriminator Loss: 1.1971... Generator Loss: 0.5442 Epoch 2/2... Batch 10/937.5 Discriminator Loss: 1.1125... Generator Loss: 2.2360 Epoch 2/2... Batch 20/937.5 Discriminator Loss: 1.3706... Generator Loss: 0.4363 Epoch 2/2... Batch 30/937.5 Discriminator Loss: 0.7306... Generator Loss: 1.4356 Epoch 2/2... Batch 40/937.5 Discriminator Loss: 1.2296... Generator Loss: 0.5706 Epoch 2/2... Batch 50/937.5 Discriminator Loss: 1.3910... Generator Loss: 2.2709 Epoch 2/2... Batch 60/937.5 Discriminator Loss: 1.4075... Generator Loss: 2.0493 Epoch 2/2... Batch 70/937.5 Discriminator Loss: 1.3298... Generator Loss: 1.3974 Epoch 2/2... Batch 80/937.5 Discriminator Loss: 2.4190... Generator Loss: 3.3017 Epoch 2/2... Batch 90/937.5 Discriminator Loss: 1.1612... Generator Loss: 1.4789 Epoch 2/2... Batch 100/937.5 Discriminator Loss: 1.0818... Generator Loss: 0.7688
Epoch 2/2... Batch 110/937.5 Discriminator Loss: 1.3414... Generator Loss: 0.5350 Epoch 2/2... Batch 120/937.5 Discriminator Loss: 0.8890... Generator Loss: 0.9740 Epoch 2/2... Batch 130/937.5 Discriminator Loss: 0.8627... Generator Loss: 1.5841 Epoch 2/2... Batch 140/937.5 Discriminator Loss: 1.2894... Generator Loss: 1.3151 Epoch 2/2... Batch 150/937.5 Discriminator Loss: 1.4437... Generator Loss: 0.6063 Epoch 2/2... Batch 160/937.5 Discriminator Loss: 1.7369... Generator Loss: 0.3059 Epoch 2/2... Batch 170/937.5 Discriminator Loss: 1.4209... Generator Loss: 0.5299 Epoch 2/2... Batch 180/937.5 Discriminator Loss: 1.2203... Generator Loss: 0.6781 Epoch 2/2... Batch 190/937.5 Discriminator Loss: 1.3421... Generator Loss: 1.5922 Epoch 2/2... Batch 200/937.5 Discriminator Loss: 1.1472... Generator Loss: 0.9236
Epoch 2/2... Batch 210/937.5 Discriminator Loss: 0.9317... Generator Loss: 1.0540 Epoch 2/2... Batch 220/937.5 Discriminator Loss: 0.8367... Generator Loss: 1.3721 Epoch 2/2... Batch 230/937.5 Discriminator Loss: 1.1618... Generator Loss: 2.1658 Epoch 2/2... Batch 240/937.5 Discriminator Loss: 0.8659... Generator Loss: 0.9954 Epoch 2/2... Batch 250/937.5 Discriminator Loss: 0.9484... Generator Loss: 1.2227 Epoch 2/2... Batch 260/937.5 Discriminator Loss: 1.3291... Generator Loss: 1.4820 Epoch 2/2... Batch 270/937.5 Discriminator Loss: 1.2277... Generator Loss: 0.5262 Epoch 2/2... Batch 280/937.5 Discriminator Loss: 1.1451... Generator Loss: 2.1522 Epoch 2/2... Batch 290/937.5 Discriminator Loss: 1.3439... Generator Loss: 2.6311 Epoch 2/2... Batch 300/937.5 Discriminator Loss: 1.2770... Generator Loss: 0.7424
Epoch 2/2... Batch 310/937.5 Discriminator Loss: 1.1367... Generator Loss: 1.1098 Epoch 2/2... Batch 320/937.5 Discriminator Loss: 1.6552... Generator Loss: 2.3407 Epoch 2/2... Batch 330/937.5 Discriminator Loss: 1.1450... Generator Loss: 0.6435 Epoch 2/2... Batch 340/937.5 Discriminator Loss: 1.8912... Generator Loss: 0.2614 Epoch 2/2... Batch 350/937.5 Discriminator Loss: 0.9509... Generator Loss: 1.1455 Epoch 2/2... Batch 360/937.5 Discriminator Loss: 1.2733... Generator Loss: 0.6295 Epoch 2/2... Batch 370/937.5 Discriminator Loss: 1.1199... Generator Loss: 1.0864 Epoch 2/2... Batch 380/937.5 Discriminator Loss: 1.2949... Generator Loss: 0.5357 Epoch 2/2... Batch 390/937.5 Discriminator Loss: 1.0334... Generator Loss: 0.8910 Epoch 2/2... Batch 400/937.5 Discriminator Loss: 1.1566... Generator Loss: 0.7597
Epoch 2/2... Batch 410/937.5 Discriminator Loss: 1.1218... Generator Loss: 0.8836 Epoch 2/2... Batch 420/937.5 Discriminator Loss: 1.2467... Generator Loss: 0.6919 Epoch 2/2... Batch 430/937.5 Discriminator Loss: 1.2383... Generator Loss: 0.7154 Epoch 2/2... Batch 440/937.5 Discriminator Loss: 2.7441... Generator Loss: 0.1182 Epoch 2/2... Batch 450/937.5 Discriminator Loss: 1.5230... Generator Loss: 0.3935 Epoch 2/2... Batch 460/937.5 Discriminator Loss: 1.6465... Generator Loss: 0.2700 Epoch 2/2... Batch 470/937.5 Discriminator Loss: 1.0359... Generator Loss: 1.0248 Epoch 2/2... Batch 480/937.5 Discriminator Loss: 1.1013... Generator Loss: 1.5905 Epoch 2/2... Batch 490/937.5 Discriminator Loss: 1.1285... Generator Loss: 0.6716 Epoch 2/2... Batch 500/937.5 Discriminator Loss: 1.9693... Generator Loss: 0.1972
Epoch 2/2... Batch 510/937.5 Discriminator Loss: 1.4693... Generator Loss: 0.5027 Epoch 2/2... Batch 520/937.5 Discriminator Loss: 1.2262... Generator Loss: 1.0384 Epoch 2/2... Batch 530/937.5 Discriminator Loss: 1.7678... Generator Loss: 0.3099 Epoch 2/2... Batch 540/937.5 Discriminator Loss: 1.4045... Generator Loss: 0.7108 Epoch 2/2... Batch 550/937.5 Discriminator Loss: 1.0058... Generator Loss: 0.8937 Epoch 2/2... Batch 560/937.5 Discriminator Loss: 1.0729... Generator Loss: 0.9894 Epoch 2/2... Batch 570/937.5 Discriminator Loss: 1.0982... Generator Loss: 0.6800 Epoch 2/2... Batch 580/937.5 Discriminator Loss: 1.3519... Generator Loss: 0.6095 Epoch 2/2... Batch 590/937.5 Discriminator Loss: 1.4893... Generator Loss: 0.5142 Epoch 2/2... Batch 600/937.5 Discriminator Loss: 1.6009... Generator Loss: 1.2579
Epoch 2/2... Batch 610/937.5 Discriminator Loss: 1.3061... Generator Loss: 0.7436 Epoch 2/2... Batch 620/937.5 Discriminator Loss: 1.5514... Generator Loss: 1.0408 Epoch 2/2... Batch 630/937.5 Discriminator Loss: 1.2336... Generator Loss: 0.6374 Epoch 2/2... Batch 640/937.5 Discriminator Loss: 1.9356... Generator Loss: 0.2709 Epoch 2/2... Batch 650/937.5 Discriminator Loss: 1.0450... Generator Loss: 0.8637 Epoch 2/2... Batch 660/937.5 Discriminator Loss: 1.7121... Generator Loss: 0.2786 Epoch 2/2... Batch 670/937.5 Discriminator Loss: 1.3655... Generator Loss: 0.4926 Epoch 2/2... Batch 680/937.5 Discriminator Loss: 1.2578... Generator Loss: 1.5131 Epoch 2/2... Batch 690/937.5 Discriminator Loss: 1.8233... Generator Loss: 0.2924 Epoch 2/2... Batch 700/937.5 Discriminator Loss: 1.6178... Generator Loss: 0.9652
Epoch 2/2... Batch 710/937.5 Discriminator Loss: 1.5439... Generator Loss: 1.0334 Epoch 2/2... Batch 720/937.5 Discriminator Loss: 1.5267... Generator Loss: 0.4672 Epoch 2/2... Batch 730/937.5 Discriminator Loss: 1.2545... Generator Loss: 0.8243 Epoch 2/2... Batch 740/937.5 Discriminator Loss: 1.4274... Generator Loss: 0.4662 Epoch 2/2... Batch 750/937.5 Discriminator Loss: 1.2414... Generator Loss: 1.5871 Epoch 2/2... Batch 760/937.5 Discriminator Loss: 1.4338... Generator Loss: 0.7664 Epoch 2/2... Batch 770/937.5 Discriminator Loss: 1.0596... Generator Loss: 0.8997 Epoch 2/2... Batch 780/937.5 Discriminator Loss: 1.2444... Generator Loss: 0.8953 Epoch 2/2... Batch 790/937.5 Discriminator Loss: 1.2541... Generator Loss: 0.6285 Epoch 2/2... Batch 800/937.5 Discriminator Loss: 1.4772... Generator Loss: 0.4847
Epoch 2/2... Batch 810/937.5 Discriminator Loss: 1.3163... Generator Loss: 1.4167 Epoch 2/2... Batch 820/937.5 Discriminator Loss: 1.2897... Generator Loss: 1.6535 Epoch 2/2... Batch 830/937.5 Discriminator Loss: 2.1072... Generator Loss: 0.1639 Epoch 2/2... Batch 840/937.5 Discriminator Loss: 1.4554... Generator Loss: 0.4771 Epoch 2/2... Batch 850/937.5 Discriminator Loss: 1.4772... Generator Loss: 1.2255 Epoch 2/2... Batch 860/937.5 Discriminator Loss: 1.1623... Generator Loss: 0.8161 Epoch 2/2... Batch 870/937.5 Discriminator Loss: 2.1882... Generator Loss: 0.1741 Epoch 2/2... Batch 880/937.5 Discriminator Loss: 1.7144... Generator Loss: 0.3893 Epoch 2/2... Batch 890/937.5 Discriminator Loss: 1.8303... Generator Loss: 0.3020 Epoch 2/2... Batch 900/937.5 Discriminator Loss: 1.1862... Generator Loss: 0.7523
Epoch 2/2... Batch 910/937.5 Discriminator Loss: 1.4313... Generator Loss: 0.9048 Epoch 2/2... Batch 920/937.5 Discriminator Loss: 2.2867... Generator Loss: 0.1558 Epoch 2/2... Batch 930/937.5 Discriminator Loss: 1.3662... Generator Loss: 0.7350
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 16
z_dim = 256
learning_rate = 0.00005
beta1 = 0.6
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Batch 10/12662.4375 Discriminator Loss: 4.1553... Generator Loss: 0.0267 Epoch 1/1... Batch 20/12662.4375 Discriminator Loss: 3.4026... Generator Loss: 0.0919 Epoch 1/1... Batch 30/12662.4375 Discriminator Loss: 3.5148... Generator Loss: 0.2356 Epoch 1/1... Batch 40/12662.4375 Discriminator Loss: 1.4051... Generator Loss: 0.8152 Epoch 1/1... Batch 50/12662.4375 Discriminator Loss: 1.3392... Generator Loss: 0.7356 Epoch 1/1... Batch 60/12662.4375 Discriminator Loss: 1.4812... Generator Loss: 0.8031 Epoch 1/1... Batch 70/12662.4375 Discriminator Loss: 1.2973... Generator Loss: 1.0091 Epoch 1/1... Batch 80/12662.4375 Discriminator Loss: 1.5198... Generator Loss: 0.9252 Epoch 1/1... Batch 90/12662.4375 Discriminator Loss: 0.8775... Generator Loss: 1.3702 Epoch 1/1... Batch 100/12662.4375 Discriminator Loss: 0.4515... Generator Loss: 1.7539
Epoch 1/1... Batch 110/12662.4375 Discriminator Loss: 1.1833... Generator Loss: 1.0037 Epoch 1/1... Batch 120/12662.4375 Discriminator Loss: 1.1128... Generator Loss: 1.4329 Epoch 1/1... Batch 130/12662.4375 Discriminator Loss: 1.0697... Generator Loss: 1.2092 Epoch 1/1... Batch 140/12662.4375 Discriminator Loss: 1.1013... Generator Loss: 1.3225 Epoch 1/1... Batch 150/12662.4375 Discriminator Loss: 0.6902... Generator Loss: 1.6279 Epoch 1/1... Batch 160/12662.4375 Discriminator Loss: 0.3558... Generator Loss: 1.6022 Epoch 1/1... Batch 170/12662.4375 Discriminator Loss: 0.7766... Generator Loss: 1.3247 Epoch 1/1... Batch 180/12662.4375 Discriminator Loss: 0.4001... Generator Loss: 1.7013 Epoch 1/1... Batch 190/12662.4375 Discriminator Loss: 1.2543... Generator Loss: 1.3668 Epoch 1/1... Batch 200/12662.4375 Discriminator Loss: 0.7212... Generator Loss: 1.3482
Epoch 1/1... Batch 210/12662.4375 Discriminator Loss: 0.3984... Generator Loss: 1.7717 Epoch 1/1... Batch 220/12662.4375 Discriminator Loss: 1.2423... Generator Loss: 1.3485 Epoch 1/1... Batch 230/12662.4375 Discriminator Loss: 1.2410... Generator Loss: 1.4070 Epoch 1/1... Batch 240/12662.4375 Discriminator Loss: 0.2451... Generator Loss: 2.1051 Epoch 1/1... Batch 250/12662.4375 Discriminator Loss: 0.7483... Generator Loss: 1.3146 Epoch 1/1... Batch 260/12662.4375 Discriminator Loss: 0.4546... Generator Loss: 1.7107 Epoch 1/1... Batch 270/12662.4375 Discriminator Loss: 0.3890... Generator Loss: 1.8344 Epoch 1/1... Batch 280/12662.4375 Discriminator Loss: 0.3948... Generator Loss: 1.3797 Epoch 1/1... Batch 290/12662.4375 Discriminator Loss: 0.2170... Generator Loss: 2.1330 Epoch 1/1... Batch 300/12662.4375 Discriminator Loss: 0.4483... Generator Loss: 1.9972
Epoch 1/1... Batch 310/12662.4375 Discriminator Loss: 0.2546... Generator Loss: 1.9341 Epoch 1/1... Batch 320/12662.4375 Discriminator Loss: 0.8105... Generator Loss: 1.2810 Epoch 1/1... Batch 330/12662.4375 Discriminator Loss: 0.3410... Generator Loss: 2.1792 Epoch 1/1... Batch 340/12662.4375 Discriminator Loss: 0.9294... Generator Loss: 1.6609 Epoch 1/1... Batch 350/12662.4375 Discriminator Loss: 0.6728... Generator Loss: 1.8682 Epoch 1/1... Batch 360/12662.4375 Discriminator Loss: 0.8441... Generator Loss: 1.2790 Epoch 1/1... Batch 370/12662.4375 Discriminator Loss: 0.2281... Generator Loss: 2.0811 Epoch 1/1... Batch 380/12662.4375 Discriminator Loss: 0.1314... Generator Loss: 2.7254 Epoch 1/1... Batch 390/12662.4375 Discriminator Loss: 0.3516... Generator Loss: 2.2161 Epoch 1/1... Batch 400/12662.4375 Discriminator Loss: 0.1108... Generator Loss: 2.4534
Epoch 1/1... Batch 410/12662.4375 Discriminator Loss: 0.3449... Generator Loss: 1.9220 Epoch 1/1... Batch 420/12662.4375 Discriminator Loss: 0.1938... Generator Loss: 1.9523 Epoch 1/1... Batch 430/12662.4375 Discriminator Loss: 0.1740... Generator Loss: 2.3455 Epoch 1/1... Batch 440/12662.4375 Discriminator Loss: 0.2618... Generator Loss: 2.3098 Epoch 1/1... Batch 450/12662.4375 Discriminator Loss: 0.1759... Generator Loss: 2.7148 Epoch 1/1... Batch 460/12662.4375 Discriminator Loss: 0.2606... Generator Loss: 2.2316 Epoch 1/1... Batch 470/12662.4375 Discriminator Loss: 0.1355... Generator Loss: 2.2792 Epoch 1/1... Batch 480/12662.4375 Discriminator Loss: 0.1317... Generator Loss: 2.3862 Epoch 1/1... Batch 490/12662.4375 Discriminator Loss: 0.1835... Generator Loss: 2.6702 Epoch 1/1... Batch 500/12662.4375 Discriminator Loss: 0.3227... Generator Loss: 2.1365
Epoch 1/1... Batch 510/12662.4375 Discriminator Loss: 0.4367... Generator Loss: 2.3112 Epoch 1/1... Batch 520/12662.4375 Discriminator Loss: 0.2095... Generator Loss: 2.4195 Epoch 1/1... Batch 530/12662.4375 Discriminator Loss: 0.2084... Generator Loss: 2.3388 Epoch 1/1... Batch 540/12662.4375 Discriminator Loss: 0.1060... Generator Loss: 2.7414 Epoch 1/1... Batch 550/12662.4375 Discriminator Loss: 0.1801... Generator Loss: 2.2564 Epoch 1/1... Batch 560/12662.4375 Discriminator Loss: 0.2015... Generator Loss: 2.6514 Epoch 1/1... Batch 570/12662.4375 Discriminator Loss: 0.2350... Generator Loss: 2.1058 Epoch 1/1... Batch 580/12662.4375 Discriminator Loss: 0.0701... Generator Loss: 3.0417 Epoch 1/1... Batch 590/12662.4375 Discriminator Loss: 0.0865... Generator Loss: 3.1887 Epoch 1/1... Batch 600/12662.4375 Discriminator Loss: 0.2489... Generator Loss: 2.4069
Epoch 1/1... Batch 610/12662.4375 Discriminator Loss: 0.1488... Generator Loss: 2.8781 Epoch 1/1... Batch 620/12662.4375 Discriminator Loss: 1.4375... Generator Loss: 0.4347 Epoch 1/1... Batch 630/12662.4375 Discriminator Loss: 1.8970... Generator Loss: 0.4759 Epoch 1/1... Batch 640/12662.4375 Discriminator Loss: 1.5362... Generator Loss: 0.6808 Epoch 1/1... Batch 650/12662.4375 Discriminator Loss: 2.0841... Generator Loss: 0.4849 Epoch 1/1... Batch 660/12662.4375 Discriminator Loss: 1.1454... Generator Loss: 0.7964 Epoch 1/1... Batch 670/12662.4375 Discriminator Loss: 1.3317... Generator Loss: 0.8355 Epoch 1/1... Batch 680/12662.4375 Discriminator Loss: 2.1379... Generator Loss: 0.4303 Epoch 1/1... Batch 690/12662.4375 Discriminator Loss: 1.0464... Generator Loss: 1.0675 Epoch 1/1... Batch 700/12662.4375 Discriminator Loss: 1.5479... Generator Loss: 0.6609
Epoch 1/1... Batch 710/12662.4375 Discriminator Loss: 0.9563... Generator Loss: 0.9273 Epoch 1/1... Batch 720/12662.4375 Discriminator Loss: 1.1546... Generator Loss: 0.7694 Epoch 1/1... Batch 730/12662.4375 Discriminator Loss: 1.2550... Generator Loss: 0.7900 Epoch 1/1... Batch 740/12662.4375 Discriminator Loss: 0.9704... Generator Loss: 1.1757 Epoch 1/1... Batch 750/12662.4375 Discriminator Loss: 0.9481... Generator Loss: 1.1402 Epoch 1/1... Batch 760/12662.4375 Discriminator Loss: 1.2228... Generator Loss: 1.1402 Epoch 1/1... Batch 770/12662.4375 Discriminator Loss: 1.2264... Generator Loss: 0.8511 Epoch 1/1... Batch 780/12662.4375 Discriminator Loss: 1.1557... Generator Loss: 0.8020 Epoch 1/1... Batch 790/12662.4375 Discriminator Loss: 1.5980... Generator Loss: 0.5880 Epoch 1/1... Batch 800/12662.4375 Discriminator Loss: 1.5015... Generator Loss: 0.6012
Epoch 1/1... Batch 810/12662.4375 Discriminator Loss: 2.3580... Generator Loss: 0.2278 Epoch 1/1... Batch 820/12662.4375 Discriminator Loss: 1.7282... Generator Loss: 0.6127 Epoch 1/1... Batch 830/12662.4375 Discriminator Loss: 1.1424... Generator Loss: 0.7692 Epoch 1/1... Batch 840/12662.4375 Discriminator Loss: 1.3940... Generator Loss: 0.7166 Epoch 1/1... Batch 850/12662.4375 Discriminator Loss: 1.5581... Generator Loss: 0.5661 Epoch 1/1... Batch 860/12662.4375 Discriminator Loss: 1.7214... Generator Loss: 0.7255 Epoch 1/1... Batch 870/12662.4375 Discriminator Loss: 1.1094... Generator Loss: 1.0418 Epoch 1/1... Batch 880/12662.4375 Discriminator Loss: 0.9299... Generator Loss: 1.1405 Epoch 1/1... Batch 890/12662.4375 Discriminator Loss: 1.2304... Generator Loss: 0.7446 Epoch 1/1... Batch 900/12662.4375 Discriminator Loss: 1.0265... Generator Loss: 0.8371
Epoch 1/1... Batch 910/12662.4375 Discriminator Loss: 1.2947... Generator Loss: 1.1008 Epoch 1/1... Batch 920/12662.4375 Discriminator Loss: 1.5716... Generator Loss: 0.3940 Epoch 1/1... Batch 930/12662.4375 Discriminator Loss: 1.1647... Generator Loss: 0.9638 Epoch 1/1... Batch 940/12662.4375 Discriminator Loss: 1.4818... Generator Loss: 0.8343 Epoch 1/1... Batch 950/12662.4375 Discriminator Loss: 0.8868... Generator Loss: 1.1776 Epoch 1/1... Batch 960/12662.4375 Discriminator Loss: 1.3705... Generator Loss: 0.7533 Epoch 1/1... Batch 970/12662.4375 Discriminator Loss: 1.3771... Generator Loss: 0.6388 Epoch 1/1... Batch 980/12662.4375 Discriminator Loss: 2.0860... Generator Loss: 0.3850 Epoch 1/1... Batch 990/12662.4375 Discriminator Loss: 1.0318... Generator Loss: 0.6668 Epoch 1/1... Batch 1000/12662.4375 Discriminator Loss: 0.8758... Generator Loss: 1.1389
Epoch 1/1... Batch 1010/12662.4375 Discriminator Loss: 0.8376... Generator Loss: 0.9872 Epoch 1/1... Batch 1020/12662.4375 Discriminator Loss: 0.7446... Generator Loss: 1.0890 Epoch 1/1... Batch 1030/12662.4375 Discriminator Loss: 0.3935... Generator Loss: 1.7164 Epoch 1/1... Batch 1040/12662.4375 Discriminator Loss: 0.8929... Generator Loss: 1.0447 Epoch 1/1... Batch 1050/12662.4375 Discriminator Loss: 0.7084... Generator Loss: 1.3578 Epoch 1/1... Batch 1060/12662.4375 Discriminator Loss: 1.3540... Generator Loss: 0.8302 Epoch 1/1... Batch 1070/12662.4375 Discriminator Loss: 1.0573... Generator Loss: 0.9141 Epoch 1/1... Batch 1080/12662.4375 Discriminator Loss: 0.9919... Generator Loss: 1.0654 Epoch 1/1... Batch 1090/12662.4375 Discriminator Loss: 0.6790... Generator Loss: 1.1814 Epoch 1/1... Batch 1100/12662.4375 Discriminator Loss: 0.6434... Generator Loss: 1.6323
Epoch 1/1... Batch 1110/12662.4375 Discriminator Loss: 0.3373... Generator Loss: 1.7173 Epoch 1/1... Batch 1120/12662.4375 Discriminator Loss: 1.1338... Generator Loss: 0.8262 Epoch 1/1... Batch 1130/12662.4375 Discriminator Loss: 0.7023... Generator Loss: 1.1566 Epoch 1/1... Batch 1140/12662.4375 Discriminator Loss: 0.6220... Generator Loss: 1.1951 Epoch 1/1... Batch 1150/12662.4375 Discriminator Loss: 0.6868... Generator Loss: 1.2730 Epoch 1/1... Batch 1160/12662.4375 Discriminator Loss: 0.9298... Generator Loss: 1.1025 Epoch 1/1... Batch 1170/12662.4375 Discriminator Loss: 0.9371... Generator Loss: 1.1271 Epoch 1/1... Batch 1180/12662.4375 Discriminator Loss: 1.3337... Generator Loss: 0.5936 Epoch 1/1... Batch 1190/12662.4375 Discriminator Loss: 1.2978... Generator Loss: 0.6404 Epoch 1/1... Batch 1200/12662.4375 Discriminator Loss: 0.6384... Generator Loss: 1.3467
Epoch 1/1... Batch 1210/12662.4375 Discriminator Loss: 0.9286... Generator Loss: 1.0551 Epoch 1/1... Batch 1220/12662.4375 Discriminator Loss: 2.1242... Generator Loss: 0.5483 Epoch 1/1... Batch 1230/12662.4375 Discriminator Loss: 1.0901... Generator Loss: 1.0024 Epoch 1/1... Batch 1240/12662.4375 Discriminator Loss: 1.2575... Generator Loss: 0.8009 Epoch 1/1... Batch 1250/12662.4375 Discriminator Loss: 0.9299... Generator Loss: 0.8585 Epoch 1/1... Batch 1260/12662.4375 Discriminator Loss: 1.8566... Generator Loss: 0.5597 Epoch 1/1... Batch 1270/12662.4375 Discriminator Loss: 1.5812... Generator Loss: 1.3925 Epoch 1/1... Batch 1280/12662.4375 Discriminator Loss: 1.7689... Generator Loss: 0.5602 Epoch 1/1... Batch 1290/12662.4375 Discriminator Loss: 1.0737... Generator Loss: 0.9435 Epoch 1/1... Batch 1300/12662.4375 Discriminator Loss: 0.7903... Generator Loss: 1.2283
Epoch 1/1... Batch 1310/12662.4375 Discriminator Loss: 0.8861... Generator Loss: 1.1435 Epoch 1/1... Batch 1320/12662.4375 Discriminator Loss: 0.5627... Generator Loss: 1.7347 Epoch 1/1... Batch 1330/12662.4375 Discriminator Loss: 1.6805... Generator Loss: 0.6465 Epoch 1/1... Batch 1340/12662.4375 Discriminator Loss: 1.2352... Generator Loss: 0.9523 Epoch 1/1... Batch 1350/12662.4375 Discriminator Loss: 1.0308... Generator Loss: 0.8654 Epoch 1/1... Batch 1360/12662.4375 Discriminator Loss: 0.9930... Generator Loss: 0.7845 Epoch 1/1... Batch 1370/12662.4375 Discriminator Loss: 1.4664... Generator Loss: 0.7199 Epoch 1/1... Batch 1380/12662.4375 Discriminator Loss: 0.7315... Generator Loss: 1.3075 Epoch 1/1... Batch 1390/12662.4375 Discriminator Loss: 0.7464... Generator Loss: 1.2426 Epoch 1/1... Batch 1400/12662.4375 Discriminator Loss: 0.8269... Generator Loss: 1.2489
Epoch 1/1... Batch 1410/12662.4375 Discriminator Loss: 0.9932... Generator Loss: 0.8755 Epoch 1/1... Batch 1420/12662.4375 Discriminator Loss: 1.0887... Generator Loss: 1.3356 Epoch 1/1... Batch 1430/12662.4375 Discriminator Loss: 1.1425... Generator Loss: 0.7533 Epoch 1/1... Batch 1440/12662.4375 Discriminator Loss: 0.2518... Generator Loss: 2.1339 Epoch 1/1... Batch 1450/12662.4375 Discriminator Loss: 0.6880... Generator Loss: 1.0390 Epoch 1/1... Batch 1460/12662.4375 Discriminator Loss: 0.8887... Generator Loss: 0.9133 Epoch 1/1... Batch 1470/12662.4375 Discriminator Loss: 0.9574... Generator Loss: 0.8465 Epoch 1/1... Batch 1480/12662.4375 Discriminator Loss: 1.9064... Generator Loss: 0.5154 Epoch 1/1... Batch 1490/12662.4375 Discriminator Loss: 1.4658... Generator Loss: 0.4732 Epoch 1/1... Batch 1500/12662.4375 Discriminator Loss: 1.2443... Generator Loss: 0.8166
Epoch 1/1... Batch 1510/12662.4375 Discriminator Loss: 1.2420... Generator Loss: 0.8102 Epoch 1/1... Batch 1520/12662.4375 Discriminator Loss: 0.7654... Generator Loss: 1.3011 Epoch 1/1... Batch 1530/12662.4375 Discriminator Loss: 0.7599... Generator Loss: 1.2259 Epoch 1/1... Batch 1540/12662.4375 Discriminator Loss: 0.8849... Generator Loss: 1.1503 Epoch 1/1... Batch 1550/12662.4375 Discriminator Loss: 0.2924... Generator Loss: 1.6794 Epoch 1/1... Batch 1560/12662.4375 Discriminator Loss: 0.9100... Generator Loss: 1.1037 Epoch 1/1... Batch 1570/12662.4375 Discriminator Loss: 0.5140... Generator Loss: 1.7248 Epoch 1/1... Batch 1580/12662.4375 Discriminator Loss: 0.7334... Generator Loss: 1.1249 Epoch 1/1... Batch 1590/12662.4375 Discriminator Loss: 0.6569... Generator Loss: 1.3723 Epoch 1/1... Batch 1600/12662.4375 Discriminator Loss: 1.2844... Generator Loss: 0.8459
Epoch 1/1... Batch 1610/12662.4375 Discriminator Loss: 0.8067... Generator Loss: 1.1970 Epoch 1/1... Batch 1620/12662.4375 Discriminator Loss: 1.1137... Generator Loss: 0.9187 Epoch 1/1... Batch 1630/12662.4375 Discriminator Loss: 1.2461... Generator Loss: 1.0361 Epoch 1/1... Batch 1640/12662.4375 Discriminator Loss: 1.1741... Generator Loss: 0.6436 Epoch 1/1... Batch 1650/12662.4375 Discriminator Loss: 0.7923... Generator Loss: 0.9498 Epoch 1/1... Batch 1660/12662.4375 Discriminator Loss: 1.0976... Generator Loss: 0.9613 Epoch 1/1... Batch 1670/12662.4375 Discriminator Loss: 0.7364... Generator Loss: 1.2078 Epoch 1/1... Batch 1680/12662.4375 Discriminator Loss: 0.6563... Generator Loss: 1.4036 Epoch 1/1... Batch 1690/12662.4375 Discriminator Loss: 0.6671... Generator Loss: 1.3750 Epoch 1/1... Batch 1700/12662.4375 Discriminator Loss: 0.2287... Generator Loss: 2.1341
Epoch 1/1... Batch 1710/12662.4375 Discriminator Loss: 0.5466... Generator Loss: 1.4820 Epoch 1/1... Batch 1720/12662.4375 Discriminator Loss: 0.7770... Generator Loss: 1.1733 Epoch 1/1... Batch 1730/12662.4375 Discriminator Loss: 1.0503... Generator Loss: 0.8762 Epoch 1/1... Batch 1740/12662.4375 Discriminator Loss: 0.9201... Generator Loss: 1.0666 Epoch 1/1... Batch 1750/12662.4375 Discriminator Loss: 0.9522... Generator Loss: 0.8592 Epoch 1/1... Batch 1760/12662.4375 Discriminator Loss: 0.8059... Generator Loss: 1.4504 Epoch 1/1... Batch 1770/12662.4375 Discriminator Loss: 1.4517... Generator Loss: 1.0499 Epoch 1/1... Batch 1780/12662.4375 Discriminator Loss: 1.7917... Generator Loss: 0.8244 Epoch 1/1... Batch 1790/12662.4375 Discriminator Loss: 1.4921... Generator Loss: 0.9008 Epoch 1/1... Batch 1800/12662.4375 Discriminator Loss: 1.1117... Generator Loss: 0.9216
Epoch 1/1... Batch 1810/12662.4375 Discriminator Loss: 0.4436... Generator Loss: 1.6006 Epoch 1/1... Batch 1820/12662.4375 Discriminator Loss: 1.2326... Generator Loss: 0.7107 Epoch 1/1... Batch 1830/12662.4375 Discriminator Loss: 1.9226... Generator Loss: 0.6901 Epoch 1/1... Batch 1840/12662.4375 Discriminator Loss: 1.7944... Generator Loss: 0.6511 Epoch 1/1... Batch 1850/12662.4375 Discriminator Loss: 1.6510... Generator Loss: 0.5054 Epoch 1/1... Batch 1860/12662.4375 Discriminator Loss: 1.5521... Generator Loss: 0.5957 Epoch 1/1... Batch 1870/12662.4375 Discriminator Loss: 1.1903... Generator Loss: 0.6609 Epoch 1/1... Batch 1880/12662.4375 Discriminator Loss: 1.3300... Generator Loss: 0.6937 Epoch 1/1... Batch 1890/12662.4375 Discriminator Loss: 1.3112... Generator Loss: 1.1590 Epoch 1/1... Batch 1900/12662.4375 Discriminator Loss: 1.1747... Generator Loss: 1.0131
Epoch 1/1... Batch 1910/12662.4375 Discriminator Loss: 1.5493... Generator Loss: 0.5723 Epoch 1/1... Batch 1920/12662.4375 Discriminator Loss: 1.4515... Generator Loss: 0.6577 Epoch 1/1... Batch 1930/12662.4375 Discriminator Loss: 1.9217... Generator Loss: 0.7679 Epoch 1/1... Batch 1940/12662.4375 Discriminator Loss: 1.4992... Generator Loss: 0.8411 Epoch 1/1... Batch 1950/12662.4375 Discriminator Loss: 1.2989... Generator Loss: 0.7007 Epoch 1/1... Batch 1960/12662.4375 Discriminator Loss: 1.2200... Generator Loss: 0.7863 Epoch 1/1... Batch 1970/12662.4375 Discriminator Loss: 1.1814... Generator Loss: 0.9206 Epoch 1/1... Batch 1980/12662.4375 Discriminator Loss: 1.4185... Generator Loss: 0.7302 Epoch 1/1... Batch 1990/12662.4375 Discriminator Loss: 1.0416... Generator Loss: 0.9359 Epoch 1/1... Batch 2000/12662.4375 Discriminator Loss: 1.5730... Generator Loss: 0.6189
Epoch 1/1... Batch 2010/12662.4375 Discriminator Loss: 1.4343... Generator Loss: 0.6723 Epoch 1/1... Batch 2020/12662.4375 Discriminator Loss: 1.5775... Generator Loss: 0.7709 Epoch 1/1... Batch 2030/12662.4375 Discriminator Loss: 1.5094... Generator Loss: 0.5234 Epoch 1/1... Batch 2040/12662.4375 Discriminator Loss: 1.2776... Generator Loss: 0.5667 Epoch 1/1... Batch 2050/12662.4375 Discriminator Loss: 1.0546... Generator Loss: 0.7885 Epoch 1/1... Batch 2060/12662.4375 Discriminator Loss: 1.1143... Generator Loss: 1.2072 Epoch 1/1... Batch 2070/12662.4375 Discriminator Loss: 1.0627... Generator Loss: 1.2010 Epoch 1/1... Batch 2080/12662.4375 Discriminator Loss: 1.1694... Generator Loss: 0.8821 Epoch 1/1... Batch 2090/12662.4375 Discriminator Loss: 1.0522... Generator Loss: 1.1005 Epoch 1/1... Batch 2100/12662.4375 Discriminator Loss: 1.0149... Generator Loss: 1.2813
Epoch 1/1... Batch 2110/12662.4375 Discriminator Loss: 1.4135... Generator Loss: 0.7741 Epoch 1/1... Batch 2120/12662.4375 Discriminator Loss: 0.9794... Generator Loss: 1.1451 Epoch 1/1... Batch 2130/12662.4375 Discriminator Loss: 0.8038... Generator Loss: 1.1110 Epoch 1/1... Batch 2140/12662.4375 Discriminator Loss: 1.5266... Generator Loss: 0.6140 Epoch 1/1... Batch 2150/12662.4375 Discriminator Loss: 1.2896... Generator Loss: 0.7367 Epoch 1/1... Batch 2160/12662.4375 Discriminator Loss: 1.5939... Generator Loss: 0.6473 Epoch 1/1... Batch 2170/12662.4375 Discriminator Loss: 1.4778... Generator Loss: 0.6135 Epoch 1/1... Batch 2180/12662.4375 Discriminator Loss: 1.0594... Generator Loss: 0.9933 Epoch 1/1... Batch 2190/12662.4375 Discriminator Loss: 1.2552... Generator Loss: 0.9619 Epoch 1/1... Batch 2200/12662.4375 Discriminator Loss: 1.3129... Generator Loss: 0.7366
Epoch 1/1... Batch 2210/12662.4375 Discriminator Loss: 1.3436... Generator Loss: 0.6462 Epoch 1/1... Batch 2220/12662.4375 Discriminator Loss: 1.2661... Generator Loss: 0.8311 Epoch 1/1... Batch 2230/12662.4375 Discriminator Loss: 1.1961... Generator Loss: 0.7355 Epoch 1/1... Batch 2240/12662.4375 Discriminator Loss: 1.6254... Generator Loss: 0.4934 Epoch 1/1... Batch 2250/12662.4375 Discriminator Loss: 1.7186... Generator Loss: 0.6156 Epoch 1/1... Batch 2260/12662.4375 Discriminator Loss: 0.8590... Generator Loss: 0.9928 Epoch 1/1... Batch 2270/12662.4375 Discriminator Loss: 1.1198... Generator Loss: 0.8298 Epoch 1/1... Batch 2280/12662.4375 Discriminator Loss: 1.7502... Generator Loss: 0.6735 Epoch 1/1... Batch 2290/12662.4375 Discriminator Loss: 1.4495... Generator Loss: 0.6988 Epoch 1/1... Batch 2300/12662.4375 Discriminator Loss: 1.9411... Generator Loss: 0.4404
Epoch 1/1... Batch 2310/12662.4375 Discriminator Loss: 1.6092... Generator Loss: 0.6407 Epoch 1/1... Batch 2320/12662.4375 Discriminator Loss: 1.4428... Generator Loss: 0.6655 Epoch 1/1... Batch 2330/12662.4375 Discriminator Loss: 1.1655... Generator Loss: 0.8223 Epoch 1/1... Batch 2340/12662.4375 Discriminator Loss: 1.4576... Generator Loss: 0.7466 Epoch 1/1... Batch 2350/12662.4375 Discriminator Loss: 1.6471... Generator Loss: 0.5217 Epoch 1/1... Batch 2360/12662.4375 Discriminator Loss: 1.3685... Generator Loss: 0.7989 Epoch 1/1... Batch 2370/12662.4375 Discriminator Loss: 1.2870... Generator Loss: 0.7460 Epoch 1/1... Batch 2380/12662.4375 Discriminator Loss: 1.3203... Generator Loss: 0.7357 Epoch 1/1... Batch 2390/12662.4375 Discriminator Loss: 1.1939... Generator Loss: 0.6958 Epoch 1/1... Batch 2400/12662.4375 Discriminator Loss: 1.1859... Generator Loss: 0.6378
Epoch 1/1... Batch 2410/12662.4375 Discriminator Loss: 1.3487... Generator Loss: 0.5886 Epoch 1/1... Batch 2420/12662.4375 Discriminator Loss: 1.2910... Generator Loss: 0.8598 Epoch 1/1... Batch 2430/12662.4375 Discriminator Loss: 1.3506... Generator Loss: 0.8624 Epoch 1/1... Batch 2440/12662.4375 Discriminator Loss: 1.7511... Generator Loss: 0.5504 Epoch 1/1... Batch 2450/12662.4375 Discriminator Loss: 1.4216... Generator Loss: 0.6425 Epoch 1/1... Batch 2460/12662.4375 Discriminator Loss: 1.4822... Generator Loss: 0.6073 Epoch 1/1... Batch 2470/12662.4375 Discriminator Loss: 1.5662... Generator Loss: 0.6228 Epoch 1/1... Batch 2480/12662.4375 Discriminator Loss: 1.6384... Generator Loss: 0.6323 Epoch 1/1... Batch 2490/12662.4375 Discriminator Loss: 1.0444... Generator Loss: 0.9995 Epoch 1/1... Batch 2500/12662.4375 Discriminator Loss: 1.1590... Generator Loss: 0.8395
Epoch 1/1... Batch 2510/12662.4375 Discriminator Loss: 1.5531... Generator Loss: 0.6540 Epoch 1/1... Batch 2520/12662.4375 Discriminator Loss: 1.5612... Generator Loss: 0.6058 Epoch 1/1... Batch 2530/12662.4375 Discriminator Loss: 1.2506... Generator Loss: 0.7614 Epoch 1/1... Batch 2540/12662.4375 Discriminator Loss: 1.2144... Generator Loss: 0.6783 Epoch 1/1... Batch 2550/12662.4375 Discriminator Loss: 1.1735... Generator Loss: 0.7408 Epoch 1/1... Batch 2560/12662.4375 Discriminator Loss: 1.2493... Generator Loss: 0.8320 Epoch 1/1... Batch 2570/12662.4375 Discriminator Loss: 1.3549... Generator Loss: 0.6518 Epoch 1/1... Batch 2580/12662.4375 Discriminator Loss: 1.2091... Generator Loss: 0.9555 Epoch 1/1... Batch 2590/12662.4375 Discriminator Loss: 1.2954... Generator Loss: 0.8449 Epoch 1/1... Batch 2600/12662.4375 Discriminator Loss: 1.0257... Generator Loss: 0.8877
Epoch 1/1... Batch 2610/12662.4375 Discriminator Loss: 1.5080... Generator Loss: 0.6805 Epoch 1/1... Batch 2620/12662.4375 Discriminator Loss: 1.3670... Generator Loss: 0.7187 Epoch 1/1... Batch 2630/12662.4375 Discriminator Loss: 0.9274... Generator Loss: 0.9775 Epoch 1/1... Batch 2640/12662.4375 Discriminator Loss: 1.7318... Generator Loss: 0.6257 Epoch 1/1... Batch 2650/12662.4375 Discriminator Loss: 1.5165... Generator Loss: 0.6873 Epoch 1/1... Batch 2660/12662.4375 Discriminator Loss: 1.1327... Generator Loss: 1.0022 Epoch 1/1... Batch 2670/12662.4375 Discriminator Loss: 1.2149... Generator Loss: 0.6946 Epoch 1/1... Batch 2680/12662.4375 Discriminator Loss: 1.1622... Generator Loss: 0.7727 Epoch 1/1... Batch 2690/12662.4375 Discriminator Loss: 1.8923... Generator Loss: 0.7079 Epoch 1/1... Batch 2700/12662.4375 Discriminator Loss: 1.3200... Generator Loss: 0.6776
Epoch 1/1... Batch 2710/12662.4375 Discriminator Loss: 1.2247... Generator Loss: 0.7853 Epoch 1/1... Batch 2720/12662.4375 Discriminator Loss: 1.7142... Generator Loss: 0.4567 Epoch 1/1... Batch 2730/12662.4375 Discriminator Loss: 1.4120... Generator Loss: 0.6637 Epoch 1/1... Batch 2740/12662.4375 Discriminator Loss: 1.4162... Generator Loss: 0.5937 Epoch 1/1... Batch 2750/12662.4375 Discriminator Loss: 1.4015... Generator Loss: 0.6977 Epoch 1/1... Batch 2760/12662.4375 Discriminator Loss: 1.0018... Generator Loss: 0.7807 Epoch 1/1... Batch 2770/12662.4375 Discriminator Loss: 1.3995... Generator Loss: 0.6879 Epoch 1/1... Batch 2780/12662.4375 Discriminator Loss: 1.1943... Generator Loss: 0.7618 Epoch 1/1... Batch 2790/12662.4375 Discriminator Loss: 1.3149... Generator Loss: 0.5738 Epoch 1/1... Batch 2800/12662.4375 Discriminator Loss: 1.3797... Generator Loss: 0.6583
Epoch 1/1... Batch 2810/12662.4375 Discriminator Loss: 1.0719... Generator Loss: 0.7792 Epoch 1/1... Batch 2820/12662.4375 Discriminator Loss: 1.3638... Generator Loss: 0.6071 Epoch 1/1... Batch 2830/12662.4375 Discriminator Loss: 1.4839... Generator Loss: 0.4911 Epoch 1/1... Batch 2840/12662.4375 Discriminator Loss: 1.2918... Generator Loss: 0.6686 Epoch 1/1... Batch 2850/12662.4375 Discriminator Loss: 0.9051... Generator Loss: 0.8539 Epoch 1/1... Batch 2860/12662.4375 Discriminator Loss: 1.7285... Generator Loss: 0.5111 Epoch 1/1... Batch 2870/12662.4375 Discriminator Loss: 1.2801... Generator Loss: 0.7022 Epoch 1/1... Batch 2880/12662.4375 Discriminator Loss: 1.0429... Generator Loss: 0.8793 Epoch 1/1... Batch 2890/12662.4375 Discriminator Loss: 1.7685... Generator Loss: 0.5217 Epoch 1/1... Batch 2900/12662.4375 Discriminator Loss: 1.5206... Generator Loss: 0.6170
Epoch 1/1... Batch 2910/12662.4375 Discriminator Loss: 1.4407... Generator Loss: 0.7077 Epoch 1/1... Batch 2920/12662.4375 Discriminator Loss: 1.4988... Generator Loss: 0.6013 Epoch 1/1... Batch 2930/12662.4375 Discriminator Loss: 1.5971... Generator Loss: 0.5727 Epoch 1/1... Batch 2940/12662.4375 Discriminator Loss: 1.3442... Generator Loss: 0.5841 Epoch 1/1... Batch 2950/12662.4375 Discriminator Loss: 1.2986... Generator Loss: 0.6174 Epoch 1/1... Batch 2960/12662.4375 Discriminator Loss: 1.6400... Generator Loss: 0.6287 Epoch 1/1... Batch 2970/12662.4375 Discriminator Loss: 1.2539... Generator Loss: 0.8913 Epoch 1/1... Batch 2980/12662.4375 Discriminator Loss: 1.3273... Generator Loss: 0.6971 Epoch 1/1... Batch 2990/12662.4375 Discriminator Loss: 1.6388... Generator Loss: 0.6202 Epoch 1/1... Batch 3000/12662.4375 Discriminator Loss: 1.2006... Generator Loss: 0.8564
Epoch 1/1... Batch 3010/12662.4375 Discriminator Loss: 1.2065... Generator Loss: 0.6660 Epoch 1/1... Batch 3020/12662.4375 Discriminator Loss: 1.0420... Generator Loss: 0.8256 Epoch 1/1... Batch 3030/12662.4375 Discriminator Loss: 1.5761... Generator Loss: 0.5418 Epoch 1/1... Batch 3040/12662.4375 Discriminator Loss: 1.3510... Generator Loss: 0.6908 Epoch 1/1... Batch 3050/12662.4375 Discriminator Loss: 1.4733... Generator Loss: 0.6820 Epoch 1/1... Batch 3060/12662.4375 Discriminator Loss: 1.6954... Generator Loss: 0.4714 Epoch 1/1... Batch 3070/12662.4375 Discriminator Loss: 1.5949... Generator Loss: 0.5363 Epoch 1/1... Batch 3080/12662.4375 Discriminator Loss: 1.3221... Generator Loss: 0.6658 Epoch 1/1... Batch 3090/12662.4375 Discriminator Loss: 1.6687... Generator Loss: 0.5999 Epoch 1/1... Batch 3100/12662.4375 Discriminator Loss: 1.2143... Generator Loss: 0.7444
Epoch 1/1... Batch 3110/12662.4375 Discriminator Loss: 1.8124... Generator Loss: 0.6430 Epoch 1/1... Batch 3120/12662.4375 Discriminator Loss: 1.2065... Generator Loss: 0.7049 Epoch 1/1... Batch 3130/12662.4375 Discriminator Loss: 1.3089... Generator Loss: 0.6502 Epoch 1/1... Batch 3140/12662.4375 Discriminator Loss: 1.0864... Generator Loss: 0.7994 Epoch 1/1... Batch 3150/12662.4375 Discriminator Loss: 2.0904... Generator Loss: 0.4315 Epoch 1/1... Batch 3160/12662.4375 Discriminator Loss: 1.3951... Generator Loss: 0.6713 Epoch 1/1... Batch 3170/12662.4375 Discriminator Loss: 1.2121... Generator Loss: 0.6939 Epoch 1/1... Batch 3180/12662.4375 Discriminator Loss: 1.4189... Generator Loss: 0.6328 Epoch 1/1... Batch 3190/12662.4375 Discriminator Loss: 1.3959... Generator Loss: 0.7908 Epoch 1/1... Batch 3200/12662.4375 Discriminator Loss: 1.5598... Generator Loss: 0.5139
Epoch 1/1... Batch 3210/12662.4375 Discriminator Loss: 1.3693... Generator Loss: 0.6895 Epoch 1/1... Batch 3220/12662.4375 Discriminator Loss: 1.3765... Generator Loss: 0.8489 Epoch 1/1... Batch 3230/12662.4375 Discriminator Loss: 1.4073... Generator Loss: 0.5207 Epoch 1/1... Batch 3240/12662.4375 Discriminator Loss: 1.4771... Generator Loss: 0.6640 Epoch 1/1... Batch 3250/12662.4375 Discriminator Loss: 1.8372... Generator Loss: 0.4592 Epoch 1/1... Batch 3260/12662.4375 Discriminator Loss: 1.8958... Generator Loss: 0.4895 Epoch 1/1... Batch 3270/12662.4375 Discriminator Loss: 1.3917... Generator Loss: 0.6127 Epoch 1/1... Batch 3280/12662.4375 Discriminator Loss: 1.7619... Generator Loss: 0.4487 Epoch 1/1... Batch 3290/12662.4375 Discriminator Loss: 1.7621... Generator Loss: 0.5325 Epoch 1/1... Batch 3300/12662.4375 Discriminator Loss: 1.4051... Generator Loss: 0.6416
Epoch 1/1... Batch 3310/12662.4375 Discriminator Loss: 1.2569... Generator Loss: 0.7449 Epoch 1/1... Batch 3320/12662.4375 Discriminator Loss: 1.1702... Generator Loss: 0.7644 Epoch 1/1... Batch 3330/12662.4375 Discriminator Loss: 1.2171... Generator Loss: 0.7820 Epoch 1/1... Batch 3340/12662.4375 Discriminator Loss: 1.5065... Generator Loss: 0.6376 Epoch 1/1... Batch 3350/12662.4375 Discriminator Loss: 1.1478... Generator Loss: 0.7828 Epoch 1/1... Batch 3360/12662.4375 Discriminator Loss: 1.2239... Generator Loss: 0.7785 Epoch 1/1... Batch 3370/12662.4375 Discriminator Loss: 1.3259... Generator Loss: 0.6637 Epoch 1/1... Batch 3380/12662.4375 Discriminator Loss: 1.2918... Generator Loss: 0.7790 Epoch 1/1... Batch 3390/12662.4375 Discriminator Loss: 1.3178... Generator Loss: 0.6387 Epoch 1/1... Batch 3400/12662.4375 Discriminator Loss: 1.2473... Generator Loss: 0.6375
Epoch 1/1... Batch 3410/12662.4375 Discriminator Loss: 1.3159... Generator Loss: 0.8563 Epoch 1/1... Batch 3420/12662.4375 Discriminator Loss: 1.6661... Generator Loss: 0.6548 Epoch 1/1... Batch 3430/12662.4375 Discriminator Loss: 1.4161... Generator Loss: 0.6177 Epoch 1/1... Batch 3440/12662.4375 Discriminator Loss: 1.2371... Generator Loss: 0.8880 Epoch 1/1... Batch 3450/12662.4375 Discriminator Loss: 1.6188... Generator Loss: 0.5412 Epoch 1/1... Batch 3460/12662.4375 Discriminator Loss: 1.5848... Generator Loss: 0.6216 Epoch 1/1... Batch 3470/12662.4375 Discriminator Loss: 1.4420... Generator Loss: 0.7693 Epoch 1/1... Batch 3480/12662.4375 Discriminator Loss: 1.4951... Generator Loss: 0.6127 Epoch 1/1... Batch 3490/12662.4375 Discriminator Loss: 1.8285... Generator Loss: 0.6476 Epoch 1/1... Batch 3500/12662.4375 Discriminator Loss: 1.6467... Generator Loss: 0.6518
Epoch 1/1... Batch 3510/12662.4375 Discriminator Loss: 1.2832... Generator Loss: 0.6702 Epoch 1/1... Batch 3520/12662.4375 Discriminator Loss: 1.4116... Generator Loss: 0.7002 Epoch 1/1... Batch 3530/12662.4375 Discriminator Loss: 1.6290... Generator Loss: 0.4756 Epoch 1/1... Batch 3540/12662.4375 Discriminator Loss: 1.7063... Generator Loss: 0.5764 Epoch 1/1... Batch 3550/12662.4375 Discriminator Loss: 1.5327... Generator Loss: 0.6829 Epoch 1/1... Batch 3560/12662.4375 Discriminator Loss: 1.4148... Generator Loss: 0.6657 Epoch 1/1... Batch 3570/12662.4375 Discriminator Loss: 1.4341... Generator Loss: 0.6535 Epoch 1/1... Batch 3580/12662.4375 Discriminator Loss: 1.4029... Generator Loss: 0.6028 Epoch 1/1... Batch 3590/12662.4375 Discriminator Loss: 1.2804... Generator Loss: 0.8209 Epoch 1/1... Batch 3600/12662.4375 Discriminator Loss: 1.7229... Generator Loss: 0.5195
Epoch 1/1... Batch 3610/12662.4375 Discriminator Loss: 1.6639... Generator Loss: 0.5960 Epoch 1/1... Batch 3620/12662.4375 Discriminator Loss: 1.7732... Generator Loss: 0.6167 Epoch 1/1... Batch 3630/12662.4375 Discriminator Loss: 1.6722... Generator Loss: 0.6949 Epoch 1/1... Batch 3640/12662.4375 Discriminator Loss: 1.6939... Generator Loss: 0.5882 Epoch 1/1... Batch 3650/12662.4375 Discriminator Loss: 1.7508... Generator Loss: 0.4687 Epoch 1/1... Batch 3660/12662.4375 Discriminator Loss: 1.3397... Generator Loss: 0.6719 Epoch 1/1... Batch 3670/12662.4375 Discriminator Loss: 1.3264... Generator Loss: 0.7366 Epoch 1/1... Batch 3680/12662.4375 Discriminator Loss: 1.1900... Generator Loss: 0.7893 Epoch 1/1... Batch 3690/12662.4375 Discriminator Loss: 1.6218... Generator Loss: 0.5030 Epoch 1/1... Batch 3700/12662.4375 Discriminator Loss: 1.2007... Generator Loss: 0.6730
Epoch 1/1... Batch 3710/12662.4375 Discriminator Loss: 1.1865... Generator Loss: 0.7303 Epoch 1/1... Batch 3720/12662.4375 Discriminator Loss: 1.4253... Generator Loss: 0.5478 Epoch 1/1... Batch 3730/12662.4375 Discriminator Loss: 1.5941... Generator Loss: 0.6214 Epoch 1/1... Batch 3740/12662.4375 Discriminator Loss: 1.0468... Generator Loss: 0.9122 Epoch 1/1... Batch 3750/12662.4375 Discriminator Loss: 1.3176... Generator Loss: 0.6457 Epoch 1/1... Batch 3760/12662.4375 Discriminator Loss: 1.4162... Generator Loss: 0.7264 Epoch 1/1... Batch 3770/12662.4375 Discriminator Loss: 1.2933... Generator Loss: 0.6293 Epoch 1/1... Batch 3780/12662.4375 Discriminator Loss: 1.3250... Generator Loss: 0.6989 Epoch 1/1... Batch 3790/12662.4375 Discriminator Loss: 1.3699... Generator Loss: 0.7535 Epoch 1/1... Batch 3800/12662.4375 Discriminator Loss: 0.9874... Generator Loss: 0.9261
Epoch 1/1... Batch 3810/12662.4375 Discriminator Loss: 1.8097... Generator Loss: 0.4257 Epoch 1/1... Batch 3820/12662.4375 Discriminator Loss: 1.5318... Generator Loss: 0.5960 Epoch 1/1... Batch 3830/12662.4375 Discriminator Loss: 1.4611... Generator Loss: 0.6718 Epoch 1/1... Batch 3840/12662.4375 Discriminator Loss: 1.8871... Generator Loss: 0.4463 Epoch 1/1... Batch 3850/12662.4375 Discriminator Loss: 1.5385... Generator Loss: 0.5844 Epoch 1/1... Batch 3860/12662.4375 Discriminator Loss: 1.2764... Generator Loss: 0.6712 Epoch 1/1... Batch 3870/12662.4375 Discriminator Loss: 1.5367... Generator Loss: 0.5470 Epoch 1/1... Batch 3880/12662.4375 Discriminator Loss: 1.6228... Generator Loss: 0.5006 Epoch 1/1... Batch 3890/12662.4375 Discriminator Loss: 1.3865... Generator Loss: 0.5992 Epoch 1/1... Batch 3900/12662.4375 Discriminator Loss: 1.6086... Generator Loss: 0.5867
Epoch 1/1... Batch 3910/12662.4375 Discriminator Loss: 1.7270... Generator Loss: 0.5168 Epoch 1/1... Batch 3920/12662.4375 Discriminator Loss: 1.5698... Generator Loss: 0.5561 Epoch 1/1... Batch 3930/12662.4375 Discriminator Loss: 1.3112... Generator Loss: 0.6396 Epoch 1/1... Batch 3940/12662.4375 Discriminator Loss: 1.2641... Generator Loss: 0.7188 Epoch 1/1... Batch 3950/12662.4375 Discriminator Loss: 1.3184... Generator Loss: 0.7794 Epoch 1/1... Batch 3960/12662.4375 Discriminator Loss: 1.6302... Generator Loss: 0.5982 Epoch 1/1... Batch 3970/12662.4375 Discriminator Loss: 1.2262... Generator Loss: 0.7120 Epoch 1/1... Batch 3980/12662.4375 Discriminator Loss: 1.4114... Generator Loss: 0.6614 Epoch 1/1... Batch 3990/12662.4375 Discriminator Loss: 1.4114... Generator Loss: 0.6767 Epoch 1/1... Batch 4000/12662.4375 Discriminator Loss: 1.2060... Generator Loss: 0.7488
Epoch 1/1... Batch 4010/12662.4375 Discriminator Loss: 1.3331... Generator Loss: 0.6803 Epoch 1/1... Batch 4020/12662.4375 Discriminator Loss: 1.4974... Generator Loss: 0.5759 Epoch 1/1... Batch 4030/12662.4375 Discriminator Loss: 1.7054... Generator Loss: 0.5395 Epoch 1/1... Batch 4040/12662.4375 Discriminator Loss: 1.6996... Generator Loss: 0.5404 Epoch 1/1... Batch 4050/12662.4375 Discriminator Loss: 1.5544... Generator Loss: 0.6147 Epoch 1/1... Batch 4060/12662.4375 Discriminator Loss: 1.3629... Generator Loss: 0.6653 Epoch 1/1... Batch 4070/12662.4375 Discriminator Loss: 1.3947... Generator Loss: 0.6524 Epoch 1/1... Batch 4080/12662.4375 Discriminator Loss: 1.2714... Generator Loss: 0.7552 Epoch 1/1... Batch 4090/12662.4375 Discriminator Loss: 1.5018... Generator Loss: 0.5652 Epoch 1/1... Batch 4100/12662.4375 Discriminator Loss: 1.2460... Generator Loss: 0.8326
Epoch 1/1... Batch 4110/12662.4375 Discriminator Loss: 1.3128... Generator Loss: 0.7206 Epoch 1/1... Batch 4120/12662.4375 Discriminator Loss: 1.4790... Generator Loss: 0.6214 Epoch 1/1... Batch 4130/12662.4375 Discriminator Loss: 1.7869... Generator Loss: 0.5340 Epoch 1/1... Batch 4140/12662.4375 Discriminator Loss: 1.3684... Generator Loss: 0.6503 Epoch 1/1... Batch 4150/12662.4375 Discriminator Loss: 1.4955... Generator Loss: 0.6545 Epoch 1/1... Batch 4160/12662.4375 Discriminator Loss: 1.6191... Generator Loss: 0.6076 Epoch 1/1... Batch 4170/12662.4375 Discriminator Loss: 1.6433... Generator Loss: 0.5590 Epoch 1/1... Batch 4180/12662.4375 Discriminator Loss: 1.6902... Generator Loss: 0.4810 Epoch 1/1... Batch 4190/12662.4375 Discriminator Loss: 1.4787... Generator Loss: 0.5688 Epoch 1/1... Batch 4200/12662.4375 Discriminator Loss: 1.2260... Generator Loss: 0.7981
Epoch 1/1... Batch 4210/12662.4375 Discriminator Loss: 1.4603... Generator Loss: 0.6469 Epoch 1/1... Batch 4220/12662.4375 Discriminator Loss: 1.7358... Generator Loss: 0.5634 Epoch 1/1... Batch 4230/12662.4375 Discriminator Loss: 1.9312... Generator Loss: 0.4243 Epoch 1/1... Batch 4240/12662.4375 Discriminator Loss: 1.5284... Generator Loss: 0.5942 Epoch 1/1... Batch 4250/12662.4375 Discriminator Loss: 1.6459... Generator Loss: 0.4946 Epoch 1/1... Batch 4260/12662.4375 Discriminator Loss: 1.5396... Generator Loss: 0.6155 Epoch 1/1... Batch 4270/12662.4375 Discriminator Loss: 1.6945... Generator Loss: 0.6768 Epoch 1/1... Batch 4280/12662.4375 Discriminator Loss: 1.2924... Generator Loss: 0.7575 Epoch 1/1... Batch 4290/12662.4375 Discriminator Loss: 1.4248... Generator Loss: 0.6854 Epoch 1/1... Batch 4300/12662.4375 Discriminator Loss: 1.5040... Generator Loss: 0.6768
Epoch 1/1... Batch 4310/12662.4375 Discriminator Loss: 1.3095... Generator Loss: 0.7129 Epoch 1/1... Batch 4320/12662.4375 Discriminator Loss: 1.4884... Generator Loss: 0.6581 Epoch 1/1... Batch 4330/12662.4375 Discriminator Loss: 1.9686... Generator Loss: 0.4736 Epoch 1/1... Batch 4340/12662.4375 Discriminator Loss: 1.3258... Generator Loss: 0.7145 Epoch 1/1... Batch 4350/12662.4375 Discriminator Loss: 1.7168... Generator Loss: 0.4237 Epoch 1/1... Batch 4360/12662.4375 Discriminator Loss: 1.4379... Generator Loss: 0.6842 Epoch 1/1... Batch 4370/12662.4375 Discriminator Loss: 1.6519... Generator Loss: 0.6415 Epoch 1/1... Batch 4380/12662.4375 Discriminator Loss: 1.5235... Generator Loss: 0.6359 Epoch 1/1... Batch 4390/12662.4375 Discriminator Loss: 1.3592... Generator Loss: 0.7016 Epoch 1/1... Batch 4400/12662.4375 Discriminator Loss: 1.7523... Generator Loss: 0.4910
Epoch 1/1... Batch 4410/12662.4375 Discriminator Loss: 1.3426... Generator Loss: 0.6800 Epoch 1/1... Batch 4420/12662.4375 Discriminator Loss: 1.6755... Generator Loss: 0.5610 Epoch 1/1... Batch 4430/12662.4375 Discriminator Loss: 1.4649... Generator Loss: 0.6623 Epoch 1/1... Batch 4440/12662.4375 Discriminator Loss: 1.3774... Generator Loss: 0.6630 Epoch 1/1... Batch 4450/12662.4375 Discriminator Loss: 1.4382... Generator Loss: 0.5861 Epoch 1/1... Batch 4460/12662.4375 Discriminator Loss: 1.6048... Generator Loss: 0.5610 Epoch 1/1... Batch 4470/12662.4375 Discriminator Loss: 1.5392... Generator Loss: 0.6833 Epoch 1/1... Batch 4480/12662.4375 Discriminator Loss: 1.3087... Generator Loss: 0.6255 Epoch 1/1... Batch 4490/12662.4375 Discriminator Loss: 1.4368... Generator Loss: 0.6590 Epoch 1/1... Batch 4500/12662.4375 Discriminator Loss: 1.3612... Generator Loss: 0.5694
Epoch 1/1... Batch 4510/12662.4375 Discriminator Loss: 1.4096... Generator Loss: 0.5933 Epoch 1/1... Batch 4520/12662.4375 Discriminator Loss: 1.5619... Generator Loss: 0.5797 Epoch 1/1... Batch 4530/12662.4375 Discriminator Loss: 1.4028... Generator Loss: 0.6170 Epoch 1/1... Batch 4540/12662.4375 Discriminator Loss: 1.5781... Generator Loss: 0.5784 Epoch 1/1... Batch 4550/12662.4375 Discriminator Loss: 1.4038... Generator Loss: 0.6353 Epoch 1/1... Batch 4560/12662.4375 Discriminator Loss: 1.5067... Generator Loss: 0.5929 Epoch 1/1... Batch 4570/12662.4375 Discriminator Loss: 1.6916... Generator Loss: 0.5588 Epoch 1/1... Batch 4580/12662.4375 Discriminator Loss: 1.4389... Generator Loss: 0.5236 Epoch 1/1... Batch 4590/12662.4375 Discriminator Loss: 1.5760... Generator Loss: 0.5911 Epoch 1/1... Batch 4600/12662.4375 Discriminator Loss: 1.1025... Generator Loss: 0.7744
Epoch 1/1... Batch 4610/12662.4375 Discriminator Loss: 1.3825... Generator Loss: 0.6849 Epoch 1/1... Batch 4620/12662.4375 Discriminator Loss: 1.3889... Generator Loss: 0.6083 Epoch 1/1... Batch 4630/12662.4375 Discriminator Loss: 1.4679... Generator Loss: 0.5943 Epoch 1/1... Batch 4640/12662.4375 Discriminator Loss: 1.4174... Generator Loss: 0.6468 Epoch 1/1... Batch 4650/12662.4375 Discriminator Loss: 1.4983... Generator Loss: 0.5918 Epoch 1/1... Batch 4660/12662.4375 Discriminator Loss: 1.6799... Generator Loss: 0.5464 Epoch 1/1... Batch 4670/12662.4375 Discriminator Loss: 1.3035... Generator Loss: 0.6707 Epoch 1/1... Batch 4680/12662.4375 Discriminator Loss: 1.5545... Generator Loss: 0.5009 Epoch 1/1... Batch 4690/12662.4375 Discriminator Loss: 1.5350... Generator Loss: 0.5351 Epoch 1/1... Batch 4700/12662.4375 Discriminator Loss: 1.3304... Generator Loss: 0.6719
Epoch 1/1... Batch 4710/12662.4375 Discriminator Loss: 1.6046... Generator Loss: 0.5817 Epoch 1/1... Batch 4720/12662.4375 Discriminator Loss: 1.4803... Generator Loss: 0.5853 Epoch 1/1... Batch 4730/12662.4375 Discriminator Loss: 1.6942... Generator Loss: 0.6322 Epoch 1/1... Batch 4740/12662.4375 Discriminator Loss: 1.5305... Generator Loss: 0.6102 Epoch 1/1... Batch 4750/12662.4375 Discriminator Loss: 1.6410... Generator Loss: 0.5318 Epoch 1/1... Batch 4760/12662.4375 Discriminator Loss: 1.3478... Generator Loss: 0.6109 Epoch 1/1... Batch 4770/12662.4375 Discriminator Loss: 1.6429... Generator Loss: 0.5002 Epoch 1/1... Batch 4780/12662.4375 Discriminator Loss: 1.3330... Generator Loss: 0.6928 Epoch 1/1... Batch 4790/12662.4375 Discriminator Loss: 1.6912... Generator Loss: 0.5587 Epoch 1/1... Batch 4800/12662.4375 Discriminator Loss: 1.5394... Generator Loss: 0.6445
Epoch 1/1... Batch 4810/12662.4375 Discriminator Loss: 1.5307... Generator Loss: 0.5647 Epoch 1/1... Batch 4820/12662.4375 Discriminator Loss: 1.3741... Generator Loss: 0.6866 Epoch 1/1... Batch 4830/12662.4375 Discriminator Loss: 1.3532... Generator Loss: 0.6686 Epoch 1/1... Batch 4840/12662.4375 Discriminator Loss: 1.3735... Generator Loss: 0.6588 Epoch 1/1... Batch 4850/12662.4375 Discriminator Loss: 1.7479... Generator Loss: 0.5473 Epoch 1/1... Batch 4860/12662.4375 Discriminator Loss: 1.3576... Generator Loss: 0.7690 Epoch 1/1... Batch 4870/12662.4375 Discriminator Loss: 1.6863... Generator Loss: 0.5658 Epoch 1/1... Batch 4880/12662.4375 Discriminator Loss: 1.3158... Generator Loss: 0.6840 Epoch 1/1... Batch 4890/12662.4375 Discriminator Loss: 1.3758... Generator Loss: 0.6783 Epoch 1/1... Batch 4900/12662.4375 Discriminator Loss: 1.5882... Generator Loss: 0.5729
Epoch 1/1... Batch 4910/12662.4375 Discriminator Loss: 1.6778... Generator Loss: 0.5575 Epoch 1/1... Batch 4920/12662.4375 Discriminator Loss: 1.6643... Generator Loss: 0.5327 Epoch 1/1... Batch 4930/12662.4375 Discriminator Loss: 1.3057... Generator Loss: 0.7626 Epoch 1/1... Batch 4940/12662.4375 Discriminator Loss: 1.4227... Generator Loss: 0.5751 Epoch 1/1... Batch 4950/12662.4375 Discriminator Loss: 1.5773... Generator Loss: 0.5000 Epoch 1/1... Batch 4960/12662.4375 Discriminator Loss: 1.5265... Generator Loss: 0.5660 Epoch 1/1... Batch 4970/12662.4375 Discriminator Loss: 1.6219... Generator Loss: 0.6167 Epoch 1/1... Batch 4980/12662.4375 Discriminator Loss: 1.4194... Generator Loss: 0.6884 Epoch 1/1... Batch 4990/12662.4375 Discriminator Loss: 1.5457... Generator Loss: 0.6429 Epoch 1/1... Batch 5000/12662.4375 Discriminator Loss: 1.5328... Generator Loss: 0.6009
Epoch 1/1... Batch 5010/12662.4375 Discriminator Loss: 1.5309... Generator Loss: 0.5665 Epoch 1/1... Batch 5020/12662.4375 Discriminator Loss: 1.5050... Generator Loss: 0.5745 Epoch 1/1... Batch 5030/12662.4375 Discriminator Loss: 1.7198... Generator Loss: 0.5302 Epoch 1/1... Batch 5040/12662.4375 Discriminator Loss: 1.3642... Generator Loss: 0.6626 Epoch 1/1... Batch 5050/12662.4375 Discriminator Loss: 1.3817... Generator Loss: 0.6072 Epoch 1/1... Batch 5060/12662.4375 Discriminator Loss: 1.3463... Generator Loss: 0.6949 Epoch 1/1... Batch 5070/12662.4375 Discriminator Loss: 1.5726... Generator Loss: 0.5315 Epoch 1/1... Batch 5080/12662.4375 Discriminator Loss: 1.6850... Generator Loss: 0.5730 Epoch 1/1... Batch 5090/12662.4375 Discriminator Loss: 1.6856... Generator Loss: 0.5957 Epoch 1/1... Batch 5100/12662.4375 Discriminator Loss: 1.8089... Generator Loss: 0.5771
Epoch 1/1... Batch 5110/12662.4375 Discriminator Loss: 1.3362... Generator Loss: 0.7507 Epoch 1/1... Batch 5120/12662.4375 Discriminator Loss: 1.6557... Generator Loss: 0.5542 Epoch 1/1... Batch 5130/12662.4375 Discriminator Loss: 1.4354... Generator Loss: 0.6340 Epoch 1/1... Batch 5140/12662.4375 Discriminator Loss: 1.3829... Generator Loss: 0.5566 Epoch 1/1... Batch 5150/12662.4375 Discriminator Loss: 1.4338... Generator Loss: 0.5771 Epoch 1/1... Batch 5160/12662.4375 Discriminator Loss: 1.4514... Generator Loss: 0.6575 Epoch 1/1... Batch 5170/12662.4375 Discriminator Loss: 1.4632... Generator Loss: 0.6294 Epoch 1/1... Batch 5180/12662.4375 Discriminator Loss: 1.3745... Generator Loss: 0.7057 Epoch 1/1... Batch 5190/12662.4375 Discriminator Loss: 1.4777... Generator Loss: 0.5853 Epoch 1/1... Batch 5200/12662.4375 Discriminator Loss: 1.5589... Generator Loss: 0.5501
Epoch 1/1... Batch 5210/12662.4375 Discriminator Loss: 1.5741... Generator Loss: 0.6018 Epoch 1/1... Batch 5220/12662.4375 Discriminator Loss: 1.5783... Generator Loss: 0.5997 Epoch 1/1... Batch 5230/12662.4375 Discriminator Loss: 1.4601... Generator Loss: 0.6051 Epoch 1/1... Batch 5240/12662.4375 Discriminator Loss: 1.6240... Generator Loss: 0.6562 Epoch 1/1... Batch 5250/12662.4375 Discriminator Loss: 1.7137... Generator Loss: 0.5047 Epoch 1/1... Batch 5260/12662.4375 Discriminator Loss: 1.3141... Generator Loss: 0.6953 Epoch 1/1... Batch 5270/12662.4375 Discriminator Loss: 1.1817... Generator Loss: 0.6848 Epoch 1/1... Batch 5280/12662.4375 Discriminator Loss: 1.4335... Generator Loss: 0.5775 Epoch 1/1... Batch 5290/12662.4375 Discriminator Loss: 1.5565... Generator Loss: 0.5542 Epoch 1/1... Batch 5300/12662.4375 Discriminator Loss: 1.5456... Generator Loss: 0.5596
Epoch 1/1... Batch 5310/12662.4375 Discriminator Loss: 1.5968... Generator Loss: 0.6013 Epoch 1/1... Batch 5320/12662.4375 Discriminator Loss: 1.6184... Generator Loss: 0.6037 Epoch 1/1... Batch 5330/12662.4375 Discriminator Loss: 1.4452... Generator Loss: 0.6187 Epoch 1/1... Batch 5340/12662.4375 Discriminator Loss: 1.2177... Generator Loss: 0.7112 Epoch 1/1... Batch 5350/12662.4375 Discriminator Loss: 1.3522... Generator Loss: 0.5818 Epoch 1/1... Batch 5360/12662.4375 Discriminator Loss: 1.3614... Generator Loss: 0.7098 Epoch 1/1... Batch 5370/12662.4375 Discriminator Loss: 1.4476... Generator Loss: 0.7203 Epoch 1/1... Batch 5380/12662.4375 Discriminator Loss: 1.4426... Generator Loss: 0.5808 Epoch 1/1... Batch 5390/12662.4375 Discriminator Loss: 1.5022... Generator Loss: 0.5875 Epoch 1/1... Batch 5400/12662.4375 Discriminator Loss: 1.5587... Generator Loss: 0.5805
Epoch 1/1... Batch 5410/12662.4375 Discriminator Loss: 1.3806... Generator Loss: 0.6317 Epoch 1/1... Batch 5420/12662.4375 Discriminator Loss: 1.8255... Generator Loss: 0.4647 Epoch 1/1... Batch 5430/12662.4375 Discriminator Loss: 1.7913... Generator Loss: 0.4935 Epoch 1/1... Batch 5440/12662.4375 Discriminator Loss: 1.3461... Generator Loss: 0.6757 Epoch 1/1... Batch 5450/12662.4375 Discriminator Loss: 1.3304... Generator Loss: 0.6129 Epoch 1/1... Batch 5460/12662.4375 Discriminator Loss: 1.3553... Generator Loss: 0.6813 Epoch 1/1... Batch 5470/12662.4375 Discriminator Loss: 1.1916... Generator Loss: 0.6864 Epoch 1/1... Batch 5480/12662.4375 Discriminator Loss: 1.3765... Generator Loss: 0.5830 Epoch 1/1... Batch 5490/12662.4375 Discriminator Loss: 1.5295... Generator Loss: 0.6069 Epoch 1/1... Batch 5500/12662.4375 Discriminator Loss: 1.3505... Generator Loss: 0.6422
Epoch 1/1... Batch 5510/12662.4375 Discriminator Loss: 1.6106... Generator Loss: 0.5257 Epoch 1/1... Batch 5520/12662.4375 Discriminator Loss: 1.4221... Generator Loss: 0.7073 Epoch 1/1... Batch 5530/12662.4375 Discriminator Loss: 1.3668... Generator Loss: 0.7296 Epoch 1/1... Batch 5540/12662.4375 Discriminator Loss: 1.5128... Generator Loss: 0.6293 Epoch 1/1... Batch 5550/12662.4375 Discriminator Loss: 1.4772... Generator Loss: 0.6066 Epoch 1/1... Batch 5560/12662.4375 Discriminator Loss: 1.3751... Generator Loss: 0.5929 Epoch 1/1... Batch 5570/12662.4375 Discriminator Loss: 1.3404... Generator Loss: 0.6530 Epoch 1/1... Batch 5580/12662.4375 Discriminator Loss: 1.2987... Generator Loss: 0.6526 Epoch 1/1... Batch 5590/12662.4375 Discriminator Loss: 1.3092... Generator Loss: 0.6839 Epoch 1/1... Batch 5600/12662.4375 Discriminator Loss: 1.5594... Generator Loss: 0.5400
Epoch 1/1... Batch 5610/12662.4375 Discriminator Loss: 1.5167... Generator Loss: 0.5627 Epoch 1/1... Batch 5620/12662.4375 Discriminator Loss: 1.3456... Generator Loss: 0.6587 Epoch 1/1... Batch 5630/12662.4375 Discriminator Loss: 1.5429... Generator Loss: 0.6346 Epoch 1/1... Batch 5640/12662.4375 Discriminator Loss: 1.6083... Generator Loss: 0.6363 Epoch 1/1... Batch 5650/12662.4375 Discriminator Loss: 1.3593... Generator Loss: 0.6554 Epoch 1/1... Batch 5660/12662.4375 Discriminator Loss: 1.5957... Generator Loss: 0.5727 Epoch 1/1... Batch 5670/12662.4375 Discriminator Loss: 1.2688... Generator Loss: 0.6871 Epoch 1/1... Batch 5680/12662.4375 Discriminator Loss: 1.6269... Generator Loss: 0.5264 Epoch 1/1... Batch 5690/12662.4375 Discriminator Loss: 1.4920... Generator Loss: 0.5421 Epoch 1/1... Batch 5700/12662.4375 Discriminator Loss: 1.4292... Generator Loss: 0.6068
Epoch 1/1... Batch 5710/12662.4375 Discriminator Loss: 1.5107... Generator Loss: 0.6492 Epoch 1/1... Batch 5720/12662.4375 Discriminator Loss: 1.4273... Generator Loss: 0.6840 Epoch 1/1... Batch 5730/12662.4375 Discriminator Loss: 1.3528... Generator Loss: 0.5867 Epoch 1/1... Batch 5740/12662.4375 Discriminator Loss: 1.2072... Generator Loss: 0.6820 Epoch 1/1... Batch 5750/12662.4375 Discriminator Loss: 1.6691... Generator Loss: 0.5501 Epoch 1/1... Batch 5760/12662.4375 Discriminator Loss: 1.1362... Generator Loss: 0.7585 Epoch 1/1... Batch 5770/12662.4375 Discriminator Loss: 1.4496... Generator Loss: 0.5520 Epoch 1/1... Batch 5780/12662.4375 Discriminator Loss: 1.6036... Generator Loss: 0.5904 Epoch 1/1... Batch 5790/12662.4375 Discriminator Loss: 1.4191... Generator Loss: 0.6224 Epoch 1/1... Batch 5800/12662.4375 Discriminator Loss: 1.3394... Generator Loss: 0.7294
Epoch 1/1... Batch 5810/12662.4375 Discriminator Loss: 1.3165... Generator Loss: 0.6485 Epoch 1/1... Batch 5820/12662.4375 Discriminator Loss: 1.4902... Generator Loss: 0.6251 Epoch 1/1... Batch 5830/12662.4375 Discriminator Loss: 1.5904... Generator Loss: 0.6028 Epoch 1/1... Batch 5840/12662.4375 Discriminator Loss: 1.4367... Generator Loss: 0.6398 Epoch 1/1... Batch 5850/12662.4375 Discriminator Loss: 1.3507... Generator Loss: 0.6781 Epoch 1/1... Batch 5860/12662.4375 Discriminator Loss: 1.4173... Generator Loss: 0.6281 Epoch 1/1... Batch 5870/12662.4375 Discriminator Loss: 1.4229... Generator Loss: 0.6882 Epoch 1/1... Batch 5880/12662.4375 Discriminator Loss: 1.1068... Generator Loss: 0.7099 Epoch 1/1... Batch 5890/12662.4375 Discriminator Loss: 1.6336... Generator Loss: 0.5672 Epoch 1/1... Batch 5900/12662.4375 Discriminator Loss: 1.4574... Generator Loss: 0.6079
Epoch 1/1... Batch 5910/12662.4375 Discriminator Loss: 1.4012... Generator Loss: 0.5646 Epoch 1/1... Batch 5920/12662.4375 Discriminator Loss: 1.5787... Generator Loss: 0.5936 Epoch 1/1... Batch 5930/12662.4375 Discriminator Loss: 1.5294... Generator Loss: 0.5891 Epoch 1/1... Batch 5940/12662.4375 Discriminator Loss: 1.4980... Generator Loss: 0.6136 Epoch 1/1... Batch 5950/12662.4375 Discriminator Loss: 1.6201... Generator Loss: 0.5347 Epoch 1/1... Batch 5960/12662.4375 Discriminator Loss: 1.4948... Generator Loss: 0.5952 Epoch 1/1... Batch 5970/12662.4375 Discriminator Loss: 1.2009... Generator Loss: 0.7970 Epoch 1/1... Batch 5980/12662.4375 Discriminator Loss: 1.3375... Generator Loss: 0.6516 Epoch 1/1... Batch 5990/12662.4375 Discriminator Loss: 1.7721... Generator Loss: 0.4743 Epoch 1/1... Batch 6000/12662.4375 Discriminator Loss: 1.3691... Generator Loss: 0.6601
Epoch 1/1... Batch 6010/12662.4375 Discriminator Loss: 1.4904... Generator Loss: 0.5860 Epoch 1/1... Batch 6020/12662.4375 Discriminator Loss: 1.3208... Generator Loss: 0.6637 Epoch 1/1... Batch 6030/12662.4375 Discriminator Loss: 1.6547... Generator Loss: 0.5848 Epoch 1/1... Batch 6040/12662.4375 Discriminator Loss: 1.1991... Generator Loss: 0.7340 Epoch 1/1... Batch 6050/12662.4375 Discriminator Loss: 1.5062... Generator Loss: 0.5474 Epoch 1/1... Batch 6060/12662.4375 Discriminator Loss: 1.2505... Generator Loss: 0.6804 Epoch 1/1... Batch 6070/12662.4375 Discriminator Loss: 1.4750... Generator Loss: 0.6232 Epoch 1/1... Batch 6080/12662.4375 Discriminator Loss: 1.3671... Generator Loss: 0.6449 Epoch 1/1... Batch 6090/12662.4375 Discriminator Loss: 1.3028... Generator Loss: 0.6118 Epoch 1/1... Batch 6100/12662.4375 Discriminator Loss: 1.4132... Generator Loss: 0.6474
Epoch 1/1... Batch 6110/12662.4375 Discriminator Loss: 1.4363... Generator Loss: 0.6026 Epoch 1/1... Batch 6120/12662.4375 Discriminator Loss: 1.3547... Generator Loss: 0.6782 Epoch 1/1... Batch 6130/12662.4375 Discriminator Loss: 1.5366... Generator Loss: 0.6320 Epoch 1/1... Batch 6140/12662.4375 Discriminator Loss: 1.5233... Generator Loss: 0.6139 Epoch 1/1... Batch 6150/12662.4375 Discriminator Loss: 1.5455... Generator Loss: 0.6152 Epoch 1/1... Batch 6160/12662.4375 Discriminator Loss: 1.2494... Generator Loss: 0.6457 Epoch 1/1... Batch 6170/12662.4375 Discriminator Loss: 1.5854... Generator Loss: 0.5206 Epoch 1/1... Batch 6180/12662.4375 Discriminator Loss: 1.5023... Generator Loss: 0.6545 Epoch 1/1... Batch 6190/12662.4375 Discriminator Loss: 1.4839... Generator Loss: 0.5871 Epoch 1/1... Batch 6200/12662.4375 Discriminator Loss: 1.5030... Generator Loss: 0.6361
Epoch 1/1... Batch 6210/12662.4375 Discriminator Loss: 1.4194... Generator Loss: 0.6536 Epoch 1/1... Batch 6220/12662.4375 Discriminator Loss: 1.5531... Generator Loss: 0.5519 Epoch 1/1... Batch 6230/12662.4375 Discriminator Loss: 1.5059... Generator Loss: 0.6367 Epoch 1/1... Batch 6240/12662.4375 Discriminator Loss: 1.4630... Generator Loss: 0.5940 Epoch 1/1... Batch 6250/12662.4375 Discriminator Loss: 1.6725... Generator Loss: 0.5626 Epoch 1/1... Batch 6260/12662.4375 Discriminator Loss: 1.6067... Generator Loss: 0.5349 Epoch 1/1... Batch 6270/12662.4375 Discriminator Loss: 1.1916... Generator Loss: 0.7219 Epoch 1/1... Batch 6280/12662.4375 Discriminator Loss: 1.7610... Generator Loss: 0.4654 Epoch 1/1... Batch 6290/12662.4375 Discriminator Loss: 1.5665... Generator Loss: 0.5455 Epoch 1/1... Batch 6300/12662.4375 Discriminator Loss: 1.2925... Generator Loss: 0.7656
Epoch 1/1... Batch 6310/12662.4375 Discriminator Loss: 1.4558... Generator Loss: 0.5741 Epoch 1/1... Batch 6320/12662.4375 Discriminator Loss: 1.3817... Generator Loss: 0.6295 Epoch 1/1... Batch 6330/12662.4375 Discriminator Loss: 1.4691... Generator Loss: 0.5783 Epoch 1/1... Batch 6340/12662.4375 Discriminator Loss: 1.4650... Generator Loss: 0.6014 Epoch 1/1... Batch 6350/12662.4375 Discriminator Loss: 1.5066... Generator Loss: 0.5605 Epoch 1/1... Batch 6360/12662.4375 Discriminator Loss: 1.6400... Generator Loss: 0.5864 Epoch 1/1... Batch 6370/12662.4375 Discriminator Loss: 1.6172... Generator Loss: 0.4848 Epoch 1/1... Batch 6380/12662.4375 Discriminator Loss: 1.3901... Generator Loss: 0.5893 Epoch 1/1... Batch 6390/12662.4375 Discriminator Loss: 1.4178... Generator Loss: 0.6793 Epoch 1/1... Batch 6400/12662.4375 Discriminator Loss: 1.7441... Generator Loss: 0.5369
Epoch 1/1... Batch 6410/12662.4375 Discriminator Loss: 1.1593... Generator Loss: 0.8463 Epoch 1/1... Batch 6420/12662.4375 Discriminator Loss: 1.5587... Generator Loss: 0.5537 Epoch 1/1... Batch 6430/12662.4375 Discriminator Loss: 1.4251... Generator Loss: 0.7204 Epoch 1/1... Batch 6440/12662.4375 Discriminator Loss: 1.5621... Generator Loss: 0.6116 Epoch 1/1... Batch 6450/12662.4375 Discriminator Loss: 1.6136... Generator Loss: 0.5428 Epoch 1/1... Batch 6460/12662.4375 Discriminator Loss: 1.4483... Generator Loss: 0.6269 Epoch 1/1... Batch 6470/12662.4375 Discriminator Loss: 1.4077... Generator Loss: 0.6540 Epoch 1/1... Batch 6480/12662.4375 Discriminator Loss: 1.3174... Generator Loss: 0.6537 Epoch 1/1... Batch 6490/12662.4375 Discriminator Loss: 1.4621... Generator Loss: 0.6038 Epoch 1/1... Batch 6500/12662.4375 Discriminator Loss: 1.2992... Generator Loss: 0.6805
Epoch 1/1... Batch 6510/12662.4375 Discriminator Loss: 1.5614... Generator Loss: 0.5262 Epoch 1/1... Batch 6520/12662.4375 Discriminator Loss: 1.5370... Generator Loss: 0.5605 Epoch 1/1... Batch 6530/12662.4375 Discriminator Loss: 1.5238... Generator Loss: 0.5990 Epoch 1/1... Batch 6540/12662.4375 Discriminator Loss: 1.3739... Generator Loss: 0.6577 Epoch 1/1... Batch 6550/12662.4375 Discriminator Loss: 1.5912... Generator Loss: 0.5998 Epoch 1/1... Batch 6560/12662.4375 Discriminator Loss: 1.3027... Generator Loss: 0.6838 Epoch 1/1... Batch 6570/12662.4375 Discriminator Loss: 1.3784... Generator Loss: 0.6658 Epoch 1/1... Batch 6580/12662.4375 Discriminator Loss: 1.4614... Generator Loss: 0.5868 Epoch 1/1... Batch 6590/12662.4375 Discriminator Loss: 1.2414... Generator Loss: 0.7408 Epoch 1/1... Batch 6600/12662.4375 Discriminator Loss: 1.5769... Generator Loss: 0.5670
Epoch 1/1... Batch 6610/12662.4375 Discriminator Loss: 1.3156... Generator Loss: 0.6602 Epoch 1/1... Batch 6620/12662.4375 Discriminator Loss: 1.8590... Generator Loss: 0.4580 Epoch 1/1... Batch 6630/12662.4375 Discriminator Loss: 1.5688... Generator Loss: 0.6309 Epoch 1/1... Batch 6640/12662.4375 Discriminator Loss: 1.2605... Generator Loss: 0.7284 Epoch 1/1... Batch 6650/12662.4375 Discriminator Loss: 1.3940... Generator Loss: 0.5472 Epoch 1/1... Batch 6660/12662.4375 Discriminator Loss: 1.3923... Generator Loss: 0.6327 Epoch 1/1... Batch 6670/12662.4375 Discriminator Loss: 1.3671... Generator Loss: 0.6649 Epoch 1/1... Batch 6680/12662.4375 Discriminator Loss: 1.2842... Generator Loss: 0.7971 Epoch 1/1... Batch 6690/12662.4375 Discriminator Loss: 1.3915... Generator Loss: 0.5750 Epoch 1/1... Batch 6700/12662.4375 Discriminator Loss: 1.1395... Generator Loss: 0.7841
Epoch 1/1... Batch 6710/12662.4375 Discriminator Loss: 1.2898... Generator Loss: 0.6855 Epoch 1/1... Batch 6720/12662.4375 Discriminator Loss: 1.4787... Generator Loss: 0.6328 Epoch 1/1... Batch 6730/12662.4375 Discriminator Loss: 1.5027... Generator Loss: 0.5665 Epoch 1/1... Batch 6740/12662.4375 Discriminator Loss: 1.7098... Generator Loss: 0.4570 Epoch 1/1... Batch 6750/12662.4375 Discriminator Loss: 1.5770... Generator Loss: 0.6231 Epoch 1/1... Batch 6760/12662.4375 Discriminator Loss: 1.3270... Generator Loss: 0.6692 Epoch 1/1... Batch 6770/12662.4375 Discriminator Loss: 1.4976... Generator Loss: 0.6828 Epoch 1/1... Batch 6780/12662.4375 Discriminator Loss: 1.3285... Generator Loss: 0.6572 Epoch 1/1... Batch 6790/12662.4375 Discriminator Loss: 1.3812... Generator Loss: 0.7013 Epoch 1/1... Batch 6800/12662.4375 Discriminator Loss: 1.5041... Generator Loss: 0.5454
Epoch 1/1... Batch 6810/12662.4375 Discriminator Loss: 1.5344... Generator Loss: 0.5424 Epoch 1/1... Batch 6820/12662.4375 Discriminator Loss: 1.2763... Generator Loss: 0.6877 Epoch 1/1... Batch 6830/12662.4375 Discriminator Loss: 1.4235... Generator Loss: 0.6482 Epoch 1/1... Batch 6840/12662.4375 Discriminator Loss: 1.5870... Generator Loss: 0.5531 Epoch 1/1... Batch 6850/12662.4375 Discriminator Loss: 1.4803... Generator Loss: 0.5470 Epoch 1/1... Batch 6860/12662.4375 Discriminator Loss: 1.4703... Generator Loss: 0.5915 Epoch 1/1... Batch 6870/12662.4375 Discriminator Loss: 1.4748... Generator Loss: 0.6463 Epoch 1/1... Batch 6880/12662.4375 Discriminator Loss: 1.3456... Generator Loss: 0.6170 Epoch 1/1... Batch 6890/12662.4375 Discriminator Loss: 1.5829... Generator Loss: 0.6587 Epoch 1/1... Batch 6900/12662.4375 Discriminator Loss: 1.3686... Generator Loss: 0.6739
Epoch 1/1... Batch 6910/12662.4375 Discriminator Loss: 1.3064... Generator Loss: 0.6263 Epoch 1/1... Batch 6920/12662.4375 Discriminator Loss: 1.2454... Generator Loss: 0.7244 Epoch 1/1... Batch 6930/12662.4375 Discriminator Loss: 1.3604... Generator Loss: 0.7177 Epoch 1/1... Batch 6940/12662.4375 Discriminator Loss: 1.4242... Generator Loss: 0.6536 Epoch 1/1... Batch 6950/12662.4375 Discriminator Loss: 1.2668... Generator Loss: 0.7194 Epoch 1/1... Batch 6960/12662.4375 Discriminator Loss: 1.4706... Generator Loss: 0.6177 Epoch 1/1... Batch 6970/12662.4375 Discriminator Loss: 1.2761... Generator Loss: 0.6760 Epoch 1/1... Batch 6980/12662.4375 Discriminator Loss: 1.4172... Generator Loss: 0.6591 Epoch 1/1... Batch 6990/12662.4375 Discriminator Loss: 1.3890... Generator Loss: 0.7448 Epoch 1/1... Batch 7000/12662.4375 Discriminator Loss: 1.5389... Generator Loss: 0.6152
Epoch 1/1... Batch 7010/12662.4375 Discriminator Loss: 1.5165... Generator Loss: 0.4809 Epoch 1/1... Batch 7020/12662.4375 Discriminator Loss: 1.3429... Generator Loss: 0.5811 Epoch 1/1... Batch 7030/12662.4375 Discriminator Loss: 1.3723... Generator Loss: 0.6515 Epoch 1/1... Batch 7040/12662.4375 Discriminator Loss: 1.1711... Generator Loss: 0.6670 Epoch 1/1... Batch 7050/12662.4375 Discriminator Loss: 1.4169... Generator Loss: 0.5481 Epoch 1/1... Batch 7060/12662.4375 Discriminator Loss: 1.4081... Generator Loss: 0.6251 Epoch 1/1... Batch 7070/12662.4375 Discriminator Loss: 1.2862... Generator Loss: 0.6571 Epoch 1/1... Batch 7080/12662.4375 Discriminator Loss: 1.5413... Generator Loss: 0.5363 Epoch 1/1... Batch 7090/12662.4375 Discriminator Loss: 1.5724... Generator Loss: 0.5934 Epoch 1/1... Batch 7100/12662.4375 Discriminator Loss: 1.6450... Generator Loss: 0.5272
Epoch 1/1... Batch 7110/12662.4375 Discriminator Loss: 1.2352... Generator Loss: 0.6718 Epoch 1/1... Batch 7120/12662.4375 Discriminator Loss: 1.4374... Generator Loss: 0.5825 Epoch 1/1... Batch 7130/12662.4375 Discriminator Loss: 1.4780... Generator Loss: 0.6538 Epoch 1/1... Batch 7140/12662.4375 Discriminator Loss: 1.5276... Generator Loss: 0.5528 Epoch 1/1... Batch 7150/12662.4375 Discriminator Loss: 1.4316... Generator Loss: 0.5934 Epoch 1/1... Batch 7160/12662.4375 Discriminator Loss: 1.6300... Generator Loss: 0.6231 Epoch 1/1... Batch 7170/12662.4375 Discriminator Loss: 1.2445... Generator Loss: 0.7820 Epoch 1/1... Batch 7180/12662.4375 Discriminator Loss: 1.3036... Generator Loss: 0.6516 Epoch 1/1... Batch 7190/12662.4375 Discriminator Loss: 1.4745... Generator Loss: 0.5169 Epoch 1/1... Batch 7200/12662.4375 Discriminator Loss: 1.6098... Generator Loss: 0.6606
Epoch 1/1... Batch 7210/12662.4375 Discriminator Loss: 1.4660... Generator Loss: 0.6259 Epoch 1/1... Batch 7220/12662.4375 Discriminator Loss: 1.4220... Generator Loss: 0.5574 Epoch 1/1... Batch 7230/12662.4375 Discriminator Loss: 1.1831... Generator Loss: 0.7266 Epoch 1/1... Batch 7240/12662.4375 Discriminator Loss: 1.4511... Generator Loss: 0.6425 Epoch 1/1... Batch 7250/12662.4375 Discriminator Loss: 1.3072... Generator Loss: 0.6145 Epoch 1/1... Batch 7260/12662.4375 Discriminator Loss: 1.5323... Generator Loss: 0.6087 Epoch 1/1... Batch 7270/12662.4375 Discriminator Loss: 1.2852... Generator Loss: 0.7221 Epoch 1/1... Batch 7280/12662.4375 Discriminator Loss: 1.3986... Generator Loss: 0.6240 Epoch 1/1... Batch 7290/12662.4375 Discriminator Loss: 1.1075... Generator Loss: 0.8027 Epoch 1/1... Batch 7300/12662.4375 Discriminator Loss: 1.1612... Generator Loss: 0.6613
Epoch 1/1... Batch 7310/12662.4375 Discriminator Loss: 1.5627... Generator Loss: 0.5760 Epoch 1/1... Batch 7320/12662.4375 Discriminator Loss: 1.4379... Generator Loss: 0.7147 Epoch 1/1... Batch 7330/12662.4375 Discriminator Loss: 1.5328... Generator Loss: 0.5662 Epoch 1/1... Batch 7340/12662.4375 Discriminator Loss: 1.3127... Generator Loss: 0.6921 Epoch 1/1... Batch 7350/12662.4375 Discriminator Loss: 1.2556... Generator Loss: 0.8030 Epoch 1/1... Batch 7360/12662.4375 Discriminator Loss: 1.6910... Generator Loss: 0.4272 Epoch 1/1... Batch 7370/12662.4375 Discriminator Loss: 1.5028... Generator Loss: 0.6535 Epoch 1/1... Batch 7380/12662.4375 Discriminator Loss: 1.4269... Generator Loss: 0.5030 Epoch 1/1... Batch 7390/12662.4375 Discriminator Loss: 1.3789... Generator Loss: 0.5933 Epoch 1/1... Batch 7400/12662.4375 Discriminator Loss: 1.2106... Generator Loss: 0.7186
Epoch 1/1... Batch 7410/12662.4375 Discriminator Loss: 1.6455... Generator Loss: 0.6131 Epoch 1/1... Batch 7420/12662.4375 Discriminator Loss: 1.6918... Generator Loss: 0.5026 Epoch 1/1... Batch 7430/12662.4375 Discriminator Loss: 1.4197... Generator Loss: 0.5959 Epoch 1/1... Batch 7440/12662.4375 Discriminator Loss: 1.2892... Generator Loss: 0.6527 Epoch 1/1... Batch 7450/12662.4375 Discriminator Loss: 1.4777... Generator Loss: 0.6458 Epoch 1/1... Batch 7460/12662.4375 Discriminator Loss: 1.2819... Generator Loss: 0.6832 Epoch 1/1... Batch 7470/12662.4375 Discriminator Loss: 1.4214... Generator Loss: 0.6639 Epoch 1/1... Batch 7480/12662.4375 Discriminator Loss: 1.4028... Generator Loss: 0.5693 Epoch 1/1... Batch 7490/12662.4375 Discriminator Loss: 1.3425... Generator Loss: 0.7314 Epoch 1/1... Batch 7500/12662.4375 Discriminator Loss: 1.3729... Generator Loss: 0.5999
Epoch 1/1... Batch 7510/12662.4375 Discriminator Loss: 1.7020... Generator Loss: 0.4830 Epoch 1/1... Batch 7520/12662.4375 Discriminator Loss: 1.6118... Generator Loss: 0.5886 Epoch 1/1... Batch 7530/12662.4375 Discriminator Loss: 1.2047... Generator Loss: 0.6941 Epoch 1/1... Batch 7540/12662.4375 Discriminator Loss: 1.2382... Generator Loss: 0.6627 Epoch 1/1... Batch 7550/12662.4375 Discriminator Loss: 1.3897... Generator Loss: 0.5626 Epoch 1/1... Batch 7560/12662.4375 Discriminator Loss: 1.5096... Generator Loss: 0.6616 Epoch 1/1... Batch 7570/12662.4375 Discriminator Loss: 1.4743... Generator Loss: 0.5958 Epoch 1/1... Batch 7580/12662.4375 Discriminator Loss: 1.4768... Generator Loss: 0.5649 Epoch 1/1... Batch 7590/12662.4375 Discriminator Loss: 1.5655... Generator Loss: 0.5503 Epoch 1/1... Batch 7600/12662.4375 Discriminator Loss: 1.3381... Generator Loss: 0.6300
Epoch 1/1... Batch 7610/12662.4375 Discriminator Loss: 1.4633... Generator Loss: 0.6259 Epoch 1/1... Batch 7620/12662.4375 Discriminator Loss: 1.4293... Generator Loss: 0.5778 Epoch 1/1... Batch 7630/12662.4375 Discriminator Loss: 1.6178... Generator Loss: 0.5487 Epoch 1/1... Batch 7640/12662.4375 Discriminator Loss: 1.4786... Generator Loss: 0.5795 Epoch 1/1... Batch 7650/12662.4375 Discriminator Loss: 1.4455... Generator Loss: 0.6310 Epoch 1/1... Batch 7660/12662.4375 Discriminator Loss: 1.4951... Generator Loss: 0.5746 Epoch 1/1... Batch 7670/12662.4375 Discriminator Loss: 1.4652... Generator Loss: 0.6126 Epoch 1/1... Batch 7680/12662.4375 Discriminator Loss: 1.4049... Generator Loss: 0.6098 Epoch 1/1... Batch 7690/12662.4375 Discriminator Loss: 1.4248... Generator Loss: 0.6412 Epoch 1/1... Batch 7700/12662.4375 Discriminator Loss: 1.2439... Generator Loss: 0.6877
Epoch 1/1... Batch 7710/12662.4375 Discriminator Loss: 1.3502... Generator Loss: 0.5926 Epoch 1/1... Batch 7720/12662.4375 Discriminator Loss: 1.4531... Generator Loss: 0.5807 Epoch 1/1... Batch 7730/12662.4375 Discriminator Loss: 1.3514... Generator Loss: 0.7337 Epoch 1/1... Batch 7740/12662.4375 Discriminator Loss: 1.3571... Generator Loss: 0.6757 Epoch 1/1... Batch 7750/12662.4375 Discriminator Loss: 1.4939... Generator Loss: 0.5888 Epoch 1/1... Batch 7760/12662.4375 Discriminator Loss: 1.2794... Generator Loss: 0.7449 Epoch 1/1... Batch 7770/12662.4375 Discriminator Loss: 1.4370... Generator Loss: 0.6178 Epoch 1/1... Batch 7780/12662.4375 Discriminator Loss: 1.4043... Generator Loss: 0.5563 Epoch 1/1... Batch 7790/12662.4375 Discriminator Loss: 1.3859... Generator Loss: 0.6639 Epoch 1/1... Batch 7800/12662.4375 Discriminator Loss: 1.5846... Generator Loss: 0.5043
Epoch 1/1... Batch 7810/12662.4375 Discriminator Loss: 1.5919... Generator Loss: 0.6339 Epoch 1/1... Batch 7820/12662.4375 Discriminator Loss: 1.2460... Generator Loss: 0.6572 Epoch 1/1... Batch 7830/12662.4375 Discriminator Loss: 1.5026... Generator Loss: 0.5154 Epoch 1/1... Batch 7840/12662.4375 Discriminator Loss: 1.4434... Generator Loss: 0.5926 Epoch 1/1... Batch 7850/12662.4375 Discriminator Loss: 1.4855... Generator Loss: 0.5855 Epoch 1/1... Batch 7860/12662.4375 Discriminator Loss: 1.5667... Generator Loss: 0.5755 Epoch 1/1... Batch 7870/12662.4375 Discriminator Loss: 1.5031... Generator Loss: 0.6340 Epoch 1/1... Batch 7880/12662.4375 Discriminator Loss: 1.3534... Generator Loss: 0.7020 Epoch 1/1... Batch 7890/12662.4375 Discriminator Loss: 1.2558... Generator Loss: 0.6267 Epoch 1/1... Batch 7900/12662.4375 Discriminator Loss: 1.4584... Generator Loss: 0.5340
Epoch 1/1... Batch 7910/12662.4375 Discriminator Loss: 1.5219... Generator Loss: 0.6014 Epoch 1/1... Batch 7920/12662.4375 Discriminator Loss: 1.3297... Generator Loss: 0.5758 Epoch 1/1... Batch 7930/12662.4375 Discriminator Loss: 1.4026... Generator Loss: 0.5480 Epoch 1/1... Batch 7940/12662.4375 Discriminator Loss: 1.0826... Generator Loss: 0.7521 Epoch 1/1... Batch 7950/12662.4375 Discriminator Loss: 1.5080... Generator Loss: 0.5776 Epoch 1/1... Batch 7960/12662.4375 Discriminator Loss: 1.5507... Generator Loss: 0.5201 Epoch 1/1... Batch 7970/12662.4375 Discriminator Loss: 1.4875... Generator Loss: 0.5536 Epoch 1/1... Batch 7980/12662.4375 Discriminator Loss: 1.4847... Generator Loss: 0.6216 Epoch 1/1... Batch 7990/12662.4375 Discriminator Loss: 1.3632... Generator Loss: 0.6028 Epoch 1/1... Batch 8000/12662.4375 Discriminator Loss: 1.4832... Generator Loss: 0.6214
Epoch 1/1... Batch 8010/12662.4375 Discriminator Loss: 1.4075... Generator Loss: 0.5893 Epoch 1/1... Batch 8020/12662.4375 Discriminator Loss: 1.1193... Generator Loss: 0.7949 Epoch 1/1... Batch 8030/12662.4375 Discriminator Loss: 1.5295... Generator Loss: 0.6058 Epoch 1/1... Batch 8040/12662.4375 Discriminator Loss: 1.3194... Generator Loss: 0.5981 Epoch 1/1... Batch 8050/12662.4375 Discriminator Loss: 1.5554... Generator Loss: 0.6129 Epoch 1/1... Batch 8060/12662.4375 Discriminator Loss: 1.3779... Generator Loss: 0.5904 Epoch 1/1... Batch 8070/12662.4375 Discriminator Loss: 1.2940... Generator Loss: 0.6410 Epoch 1/1... Batch 8080/12662.4375 Discriminator Loss: 1.6895... Generator Loss: 0.5776 Epoch 1/1... Batch 8090/12662.4375 Discriminator Loss: 1.3238... Generator Loss: 0.6764 Epoch 1/1... Batch 8100/12662.4375 Discriminator Loss: 1.2735... Generator Loss: 0.6901
Epoch 1/1... Batch 8110/12662.4375 Discriminator Loss: 1.4096... Generator Loss: 0.5697 Epoch 1/1... Batch 8120/12662.4375 Discriminator Loss: 1.6016... Generator Loss: 0.6299 Epoch 1/1... Batch 8130/12662.4375 Discriminator Loss: 1.3171... Generator Loss: 0.6720 Epoch 1/1... Batch 8140/12662.4375 Discriminator Loss: 1.5527... Generator Loss: 0.5922 Epoch 1/1... Batch 8150/12662.4375 Discriminator Loss: 1.7897... Generator Loss: 0.5497 Epoch 1/1... Batch 8160/12662.4375 Discriminator Loss: 1.4709... Generator Loss: 0.6240 Epoch 1/1... Batch 8170/12662.4375 Discriminator Loss: 1.5985... Generator Loss: 0.5531 Epoch 1/1... Batch 8180/12662.4375 Discriminator Loss: 1.2788... Generator Loss: 0.7000 Epoch 1/1... Batch 8190/12662.4375 Discriminator Loss: 1.6914... Generator Loss: 0.5452 Epoch 1/1... Batch 8200/12662.4375 Discriminator Loss: 1.5788... Generator Loss: 0.5355
Epoch 1/1... Batch 8210/12662.4375 Discriminator Loss: 1.2881... Generator Loss: 0.6913 Epoch 1/1... Batch 8220/12662.4375 Discriminator Loss: 1.4563... Generator Loss: 0.5840 Epoch 1/1... Batch 8230/12662.4375 Discriminator Loss: 1.5712... Generator Loss: 0.5065 Epoch 1/1... Batch 8240/12662.4375 Discriminator Loss: 1.3208... Generator Loss: 0.6581 Epoch 1/1... Batch 8250/12662.4375 Discriminator Loss: 1.4232... Generator Loss: 0.5145 Epoch 1/1... Batch 8260/12662.4375 Discriminator Loss: 1.3169... Generator Loss: 0.6759 Epoch 1/1... Batch 8270/12662.4375 Discriminator Loss: 1.4234... Generator Loss: 0.5456 Epoch 1/1... Batch 8280/12662.4375 Discriminator Loss: 1.2384... Generator Loss: 0.7076 Epoch 1/1... Batch 8290/12662.4375 Discriminator Loss: 1.4645... Generator Loss: 0.6706 Epoch 1/1... Batch 8300/12662.4375 Discriminator Loss: 1.3824... Generator Loss: 0.5801
Epoch 1/1... Batch 8310/12662.4375 Discriminator Loss: 1.4090... Generator Loss: 0.5995 Epoch 1/1... Batch 8320/12662.4375 Discriminator Loss: 1.3251... Generator Loss: 0.6040 Epoch 1/1... Batch 8330/12662.4375 Discriminator Loss: 1.2660... Generator Loss: 0.7053 Epoch 1/1... Batch 8340/12662.4375 Discriminator Loss: 1.2275... Generator Loss: 0.6262 Epoch 1/1... Batch 8350/12662.4375 Discriminator Loss: 1.1482... Generator Loss: 0.7830 Epoch 1/1... Batch 8360/12662.4375 Discriminator Loss: 1.5371... Generator Loss: 0.5033 Epoch 1/1... Batch 8370/12662.4375 Discriminator Loss: 1.3834... Generator Loss: 0.4828 Epoch 1/1... Batch 8380/12662.4375 Discriminator Loss: 1.7267... Generator Loss: 0.4849 Epoch 1/1... Batch 8390/12662.4375 Discriminator Loss: 1.5927... Generator Loss: 0.5791 Epoch 1/1... Batch 8400/12662.4375 Discriminator Loss: 1.4311... Generator Loss: 0.5940
Epoch 1/1... Batch 8410/12662.4375 Discriminator Loss: 1.5136... Generator Loss: 0.6397 Epoch 1/1... Batch 8420/12662.4375 Discriminator Loss: 1.3745... Generator Loss: 0.7139 Epoch 1/1... Batch 8430/12662.4375 Discriminator Loss: 1.4221... Generator Loss: 0.5975 Epoch 1/1... Batch 8440/12662.4375 Discriminator Loss: 1.5874... Generator Loss: 0.5592 Epoch 1/1... Batch 8450/12662.4375 Discriminator Loss: 1.4202... Generator Loss: 0.5846 Epoch 1/1... Batch 8460/12662.4375 Discriminator Loss: 1.6637... Generator Loss: 0.5601 Epoch 1/1... Batch 8470/12662.4375 Discriminator Loss: 1.2660... Generator Loss: 0.6289 Epoch 1/1... Batch 8480/12662.4375 Discriminator Loss: 1.4975... Generator Loss: 0.5633 Epoch 1/1... Batch 8490/12662.4375 Discriminator Loss: 1.3289... Generator Loss: 0.6865 Epoch 1/1... Batch 8500/12662.4375 Discriminator Loss: 1.1307... Generator Loss: 0.6527
Epoch 1/1... Batch 8510/12662.4375 Discriminator Loss: 1.2476... Generator Loss: 0.6436 Epoch 1/1... Batch 8520/12662.4375 Discriminator Loss: 1.3027... Generator Loss: 0.6569 Epoch 1/1... Batch 8530/12662.4375 Discriminator Loss: 1.4188... Generator Loss: 0.6910 Epoch 1/1... Batch 8540/12662.4375 Discriminator Loss: 1.4179... Generator Loss: 0.7308 Epoch 1/1... Batch 8550/12662.4375 Discriminator Loss: 1.5410... Generator Loss: 0.5558 Epoch 1/1... Batch 8560/12662.4375 Discriminator Loss: 1.4818... Generator Loss: 0.6208 Epoch 1/1... Batch 8570/12662.4375 Discriminator Loss: 1.4698... Generator Loss: 0.6130 Epoch 1/1... Batch 8580/12662.4375 Discriminator Loss: 1.6877... Generator Loss: 0.4941 Epoch 1/1... Batch 8590/12662.4375 Discriminator Loss: 1.4616... Generator Loss: 0.5936 Epoch 1/1... Batch 8600/12662.4375 Discriminator Loss: 1.4461... Generator Loss: 0.5824
Epoch 1/1... Batch 8610/12662.4375 Discriminator Loss: 1.1084... Generator Loss: 0.7700 Epoch 1/1... Batch 8620/12662.4375 Discriminator Loss: 1.6433... Generator Loss: 0.5193 Epoch 1/1... Batch 8630/12662.4375 Discriminator Loss: 1.4453... Generator Loss: 0.6617 Epoch 1/1... Batch 8640/12662.4375 Discriminator Loss: 1.6204... Generator Loss: 0.5800 Epoch 1/1... Batch 8650/12662.4375 Discriminator Loss: 1.4502... Generator Loss: 0.5710 Epoch 1/1... Batch 8660/12662.4375 Discriminator Loss: 1.5298... Generator Loss: 0.5229 Epoch 1/1... Batch 8670/12662.4375 Discriminator Loss: 1.4316... Generator Loss: 0.5928 Epoch 1/1... Batch 8680/12662.4375 Discriminator Loss: 1.5474... Generator Loss: 0.6102 Epoch 1/1... Batch 8690/12662.4375 Discriminator Loss: 1.3669... Generator Loss: 0.6602 Epoch 1/1... Batch 8700/12662.4375 Discriminator Loss: 1.5335... Generator Loss: 0.6069
Epoch 1/1... Batch 8710/12662.4375 Discriminator Loss: 1.4580... Generator Loss: 0.6355 Epoch 1/1... Batch 8720/12662.4375 Discriminator Loss: 1.2884... Generator Loss: 0.6079 Epoch 1/1... Batch 8730/12662.4375 Discriminator Loss: 1.4744... Generator Loss: 0.6621 Epoch 1/1... Batch 8740/12662.4375 Discriminator Loss: 1.3079... Generator Loss: 0.7202 Epoch 1/1... Batch 8750/12662.4375 Discriminator Loss: 1.4319... Generator Loss: 0.6244 Epoch 1/1... Batch 8760/12662.4375 Discriminator Loss: 1.2016... Generator Loss: 0.7162 Epoch 1/1... Batch 8770/12662.4375 Discriminator Loss: 1.6406... Generator Loss: 0.5741 Epoch 1/1... Batch 8780/12662.4375 Discriminator Loss: 1.3284... Generator Loss: 0.6222 Epoch 1/1... Batch 8790/12662.4375 Discriminator Loss: 1.5741... Generator Loss: 0.5402 Epoch 1/1... Batch 8800/12662.4375 Discriminator Loss: 1.5191... Generator Loss: 0.5629
Epoch 1/1... Batch 8810/12662.4375 Discriminator Loss: 1.5219... Generator Loss: 0.5583 Epoch 1/1... Batch 8820/12662.4375 Discriminator Loss: 1.1304... Generator Loss: 0.8197 Epoch 1/1... Batch 8830/12662.4375 Discriminator Loss: 1.3355... Generator Loss: 0.5919 Epoch 1/1... Batch 8840/12662.4375 Discriminator Loss: 1.3406... Generator Loss: 0.5341 Epoch 1/1... Batch 8850/12662.4375 Discriminator Loss: 1.7240... Generator Loss: 0.4237 Epoch 1/1... Batch 8860/12662.4375 Discriminator Loss: 1.4259... Generator Loss: 0.6210 Epoch 1/1... Batch 8870/12662.4375 Discriminator Loss: 1.3052... Generator Loss: 0.6510 Epoch 1/1... Batch 8880/12662.4375 Discriminator Loss: 1.4444... Generator Loss: 0.6037 Epoch 1/1... Batch 8890/12662.4375 Discriminator Loss: 1.3957... Generator Loss: 0.6061 Epoch 1/1... Batch 8900/12662.4375 Discriminator Loss: 1.5384... Generator Loss: 0.5723
Epoch 1/1... Batch 8910/12662.4375 Discriminator Loss: 1.0984... Generator Loss: 0.7411 Epoch 1/1... Batch 8920/12662.4375 Discriminator Loss: 1.3417... Generator Loss: 0.6742 Epoch 1/1... Batch 8930/12662.4375 Discriminator Loss: 1.4349... Generator Loss: 0.6056 Epoch 1/1... Batch 8940/12662.4375 Discriminator Loss: 1.2858... Generator Loss: 0.6629 Epoch 1/1... Batch 8950/12662.4375 Discriminator Loss: 1.5347... Generator Loss: 0.5263 Epoch 1/1... Batch 8960/12662.4375 Discriminator Loss: 1.5152... Generator Loss: 0.6047 Epoch 1/1... Batch 8970/12662.4375 Discriminator Loss: 1.5258... Generator Loss: 0.6058 Epoch 1/1... Batch 8980/12662.4375 Discriminator Loss: 1.1411... Generator Loss: 0.6991 Epoch 1/1... Batch 8990/12662.4375 Discriminator Loss: 1.2538... Generator Loss: 0.7581 Epoch 1/1... Batch 9000/12662.4375 Discriminator Loss: 1.3455... Generator Loss: 0.6974
Epoch 1/1... Batch 9010/12662.4375 Discriminator Loss: 1.5481... Generator Loss: 0.5096 Epoch 1/1... Batch 9020/12662.4375 Discriminator Loss: 1.2752... Generator Loss: 0.7011 Epoch 1/1... Batch 9030/12662.4375 Discriminator Loss: 1.3172... Generator Loss: 0.5907 Epoch 1/1... Batch 9040/12662.4375 Discriminator Loss: 1.2983... Generator Loss: 0.6571 Epoch 1/1... Batch 9050/12662.4375 Discriminator Loss: 1.6217... Generator Loss: 0.5590 Epoch 1/1... Batch 9060/12662.4375 Discriminator Loss: 1.1719... Generator Loss: 0.7358 Epoch 1/1... Batch 9070/12662.4375 Discriminator Loss: 1.3103... Generator Loss: 0.6929 Epoch 1/1... Batch 9080/12662.4375 Discriminator Loss: 1.5096... Generator Loss: 0.5544 Epoch 1/1... Batch 9090/12662.4375 Discriminator Loss: 1.6395... Generator Loss: 0.4664 Epoch 1/1... Batch 9100/12662.4375 Discriminator Loss: 1.3282... Generator Loss: 0.6282
Epoch 1/1... Batch 9110/12662.4375 Discriminator Loss: 1.4977... Generator Loss: 0.6450 Epoch 1/1... Batch 9120/12662.4375 Discriminator Loss: 1.6004... Generator Loss: 0.5893 Epoch 1/1... Batch 9130/12662.4375 Discriminator Loss: 1.4471... Generator Loss: 0.6180 Epoch 1/1... Batch 9140/12662.4375 Discriminator Loss: 1.6143... Generator Loss: 0.5452 Epoch 1/1... Batch 9150/12662.4375 Discriminator Loss: 1.3085... Generator Loss: 0.5848 Epoch 1/1... Batch 9160/12662.4375 Discriminator Loss: 1.2410... Generator Loss: 0.6339 Epoch 1/1... Batch 9170/12662.4375 Discriminator Loss: 1.2820... Generator Loss: 0.6556 Epoch 1/1... Batch 9180/12662.4375 Discriminator Loss: 1.3837... Generator Loss: 0.6548 Epoch 1/1... Batch 9190/12662.4375 Discriminator Loss: 1.2324... Generator Loss: 0.7088 Epoch 1/1... Batch 9200/12662.4375 Discriminator Loss: 1.3452... Generator Loss: 0.5971
Epoch 1/1... Batch 9210/12662.4375 Discriminator Loss: 1.5011... Generator Loss: 0.5286 Epoch 1/1... Batch 9220/12662.4375 Discriminator Loss: 1.4446... Generator Loss: 0.5330 Epoch 1/1... Batch 9230/12662.4375 Discriminator Loss: 1.2814... Generator Loss: 0.6686 Epoch 1/1... Batch 9240/12662.4375 Discriminator Loss: 1.4268... Generator Loss: 0.5866 Epoch 1/1... Batch 9250/12662.4375 Discriminator Loss: 1.8208... Generator Loss: 0.4604 Epoch 1/1... Batch 9260/12662.4375 Discriminator Loss: 1.4847... Generator Loss: 0.6588 Epoch 1/1... Batch 9270/12662.4375 Discriminator Loss: 1.2810... Generator Loss: 0.6899 Epoch 1/1... Batch 9280/12662.4375 Discriminator Loss: 1.2869... Generator Loss: 0.6148 Epoch 1/1... Batch 9290/12662.4375 Discriminator Loss: 1.7248... Generator Loss: 0.5071 Epoch 1/1... Batch 9300/12662.4375 Discriminator Loss: 1.6442... Generator Loss: 0.5135
Epoch 1/1... Batch 9310/12662.4375 Discriminator Loss: 1.2849... Generator Loss: 0.6691 Epoch 1/1... Batch 9320/12662.4375 Discriminator Loss: 1.4709... Generator Loss: 0.6209 Epoch 1/1... Batch 9330/12662.4375 Discriminator Loss: 1.2518... Generator Loss: 0.7013 Epoch 1/1... Batch 9340/12662.4375 Discriminator Loss: 1.3164... Generator Loss: 0.6046 Epoch 1/1... Batch 9350/12662.4375 Discriminator Loss: 1.3564... Generator Loss: 0.6418 Epoch 1/1... Batch 9360/12662.4375 Discriminator Loss: 1.1972... Generator Loss: 0.8256 Epoch 1/1... Batch 9370/12662.4375 Discriminator Loss: 1.3110... Generator Loss: 0.6428 Epoch 1/1... Batch 9380/12662.4375 Discriminator Loss: 1.6016... Generator Loss: 0.5270 Epoch 1/1... Batch 9390/12662.4375 Discriminator Loss: 1.3207... Generator Loss: 0.6298 Epoch 1/1... Batch 9400/12662.4375 Discriminator Loss: 1.2950... Generator Loss: 0.7510
Epoch 1/1... Batch 9410/12662.4375 Discriminator Loss: 1.3208... Generator Loss: 0.5859 Epoch 1/1... Batch 9420/12662.4375 Discriminator Loss: 1.4631... Generator Loss: 0.5502 Epoch 1/1... Batch 9430/12662.4375 Discriminator Loss: 1.4287... Generator Loss: 0.6194 Epoch 1/1... Batch 9440/12662.4375 Discriminator Loss: 1.5439... Generator Loss: 0.5439 Epoch 1/1... Batch 9450/12662.4375 Discriminator Loss: 1.6880... Generator Loss: 0.4841 Epoch 1/1... Batch 9460/12662.4375 Discriminator Loss: 1.2316... Generator Loss: 0.5883 Epoch 1/1... Batch 9470/12662.4375 Discriminator Loss: 1.3953... Generator Loss: 0.6098 Epoch 1/1... Batch 9480/12662.4375 Discriminator Loss: 1.5063... Generator Loss: 0.6119 Epoch 1/1... Batch 9490/12662.4375 Discriminator Loss: 1.2857... Generator Loss: 0.7186 Epoch 1/1... Batch 9500/12662.4375 Discriminator Loss: 1.3324... Generator Loss: 0.6678
Epoch 1/1... Batch 9510/12662.4375 Discriminator Loss: 1.4834... Generator Loss: 0.5442 Epoch 1/1... Batch 9520/12662.4375 Discriminator Loss: 1.1870... Generator Loss: 0.7085 Epoch 1/1... Batch 9530/12662.4375 Discriminator Loss: 1.3698... Generator Loss: 0.6323 Epoch 1/1... Batch 9540/12662.4375 Discriminator Loss: 1.3918... Generator Loss: 0.5998 Epoch 1/1... Batch 9550/12662.4375 Discriminator Loss: 1.2227... Generator Loss: 0.5998 Epoch 1/1... Batch 9560/12662.4375 Discriminator Loss: 1.3037... Generator Loss: 0.5703 Epoch 1/1... Batch 9570/12662.4375 Discriminator Loss: 1.5347... Generator Loss: 0.4905 Epoch 1/1... Batch 9580/12662.4375 Discriminator Loss: 1.3536... Generator Loss: 0.6760 Epoch 1/1... Batch 9590/12662.4375 Discriminator Loss: 1.3957... Generator Loss: 0.6905 Epoch 1/1... Batch 9600/12662.4375 Discriminator Loss: 1.2170... Generator Loss: 0.7838
Epoch 1/1... Batch 9610/12662.4375 Discriminator Loss: 1.3975... Generator Loss: 0.5358 Epoch 1/1... Batch 9620/12662.4375 Discriminator Loss: 1.4113... Generator Loss: 0.5585 Epoch 1/1... Batch 9630/12662.4375 Discriminator Loss: 1.2956... Generator Loss: 0.5874 Epoch 1/1... Batch 9640/12662.4375 Discriminator Loss: 1.3869... Generator Loss: 0.6183 Epoch 1/1... Batch 9650/12662.4375 Discriminator Loss: 1.3340... Generator Loss: 0.6414 Epoch 1/1... Batch 9660/12662.4375 Discriminator Loss: 1.6096... Generator Loss: 0.4745 Epoch 1/1... Batch 9670/12662.4375 Discriminator Loss: 1.7951... Generator Loss: 0.4259 Epoch 1/1... Batch 9680/12662.4375 Discriminator Loss: 1.3359... Generator Loss: 0.6184 Epoch 1/1... Batch 9690/12662.4375 Discriminator Loss: 1.4905... Generator Loss: 0.5706 Epoch 1/1... Batch 9700/12662.4375 Discriminator Loss: 1.5261... Generator Loss: 0.5398
Epoch 1/1... Batch 9710/12662.4375 Discriminator Loss: 1.5732... Generator Loss: 0.6293 Epoch 1/1... Batch 9720/12662.4375 Discriminator Loss: 1.4354... Generator Loss: 0.5673 Epoch 1/1... Batch 9730/12662.4375 Discriminator Loss: 1.4673... Generator Loss: 0.5930 Epoch 1/1... Batch 9740/12662.4375 Discriminator Loss: 1.1526... Generator Loss: 0.7907 Epoch 1/1... Batch 9750/12662.4375 Discriminator Loss: 1.2420... Generator Loss: 0.6818 Epoch 1/1... Batch 9760/12662.4375 Discriminator Loss: 1.3722... Generator Loss: 0.6387 Epoch 1/1... Batch 9770/12662.4375 Discriminator Loss: 1.4195... Generator Loss: 0.5308 Epoch 1/1... Batch 9780/12662.4375 Discriminator Loss: 1.5063... Generator Loss: 0.5788 Epoch 1/1... Batch 9790/12662.4375 Discriminator Loss: 1.5360... Generator Loss: 0.4671 Epoch 1/1... Batch 9800/12662.4375 Discriminator Loss: 1.3909... Generator Loss: 0.5840
Epoch 1/1... Batch 9810/12662.4375 Discriminator Loss: 1.2729... Generator Loss: 0.6620 Epoch 1/1... Batch 9820/12662.4375 Discriminator Loss: 1.3607... Generator Loss: 0.5233 Epoch 1/1... Batch 9830/12662.4375 Discriminator Loss: 1.6224... Generator Loss: 0.4738 Epoch 1/1... Batch 9840/12662.4375 Discriminator Loss: 1.3555... Generator Loss: 0.6312 Epoch 1/1... Batch 9850/12662.4375 Discriminator Loss: 1.3688... Generator Loss: 0.6268 Epoch 1/1... Batch 9860/12662.4375 Discriminator Loss: 1.1384... Generator Loss: 0.8285 Epoch 1/1... Batch 9870/12662.4375 Discriminator Loss: 1.4361... Generator Loss: 0.5798 Epoch 1/1... Batch 9880/12662.4375 Discriminator Loss: 1.3173... Generator Loss: 0.6392 Epoch 1/1... Batch 9890/12662.4375 Discriminator Loss: 1.4988... Generator Loss: 0.5445 Epoch 1/1... Batch 9900/12662.4375 Discriminator Loss: 1.1405... Generator Loss: 0.7048
Epoch 1/1... Batch 9910/12662.4375 Discriminator Loss: 1.4693... Generator Loss: 0.5981 Epoch 1/1... Batch 9920/12662.4375 Discriminator Loss: 1.5661... Generator Loss: 0.5851 Epoch 1/1... Batch 9930/12662.4375 Discriminator Loss: 1.3417... Generator Loss: 0.6905 Epoch 1/1... Batch 9940/12662.4375 Discriminator Loss: 1.4885... Generator Loss: 0.5638 Epoch 1/1... Batch 9950/12662.4375 Discriminator Loss: 1.5725... Generator Loss: 0.5031 Epoch 1/1... Batch 9960/12662.4375 Discriminator Loss: 1.4140... Generator Loss: 0.6132 Epoch 1/1... Batch 9970/12662.4375 Discriminator Loss: 1.3694... Generator Loss: 0.5664 Epoch 1/1... Batch 9980/12662.4375 Discriminator Loss: 1.3786... Generator Loss: 0.5938 Epoch 1/1... Batch 9990/12662.4375 Discriminator Loss: 1.5880... Generator Loss: 0.5044 Epoch 1/1... Batch 10000/12662.4375 Discriminator Loss: 1.1687... Generator Loss: 0.6475
Epoch 1/1... Batch 10010/12662.4375 Discriminator Loss: 1.4859... Generator Loss: 0.5476 Epoch 1/1... Batch 10020/12662.4375 Discriminator Loss: 1.0862... Generator Loss: 0.7288 Epoch 1/1... Batch 10030/12662.4375 Discriminator Loss: 1.4931... Generator Loss: 0.5637 Epoch 1/1... Batch 10040/12662.4375 Discriminator Loss: 1.2237... Generator Loss: 0.7222 Epoch 1/1... Batch 10050/12662.4375 Discriminator Loss: 1.7653... Generator Loss: 0.5131 Epoch 1/1... Batch 10060/12662.4375 Discriminator Loss: 1.3671... Generator Loss: 0.6219 Epoch 1/1... Batch 10070/12662.4375 Discriminator Loss: 1.4523... Generator Loss: 0.6013 Epoch 1/1... Batch 10080/12662.4375 Discriminator Loss: 1.5305... Generator Loss: 0.5552 Epoch 1/1... Batch 10090/12662.4375 Discriminator Loss: 1.3909... Generator Loss: 0.6663 Epoch 1/1... Batch 10100/12662.4375 Discriminator Loss: 1.2763... Generator Loss: 0.6539
Epoch 1/1... Batch 10110/12662.4375 Discriminator Loss: 1.3938... Generator Loss: 0.6278 Epoch 1/1... Batch 10120/12662.4375 Discriminator Loss: 1.3506... Generator Loss: 0.6185 Epoch 1/1... Batch 10130/12662.4375 Discriminator Loss: 1.4371... Generator Loss: 0.6253 Epoch 1/1... Batch 10140/12662.4375 Discriminator Loss: 1.3540... Generator Loss: 0.5442 Epoch 1/1... Batch 10150/12662.4375 Discriminator Loss: 1.3705... Generator Loss: 0.5826 Epoch 1/1... Batch 10160/12662.4375 Discriminator Loss: 1.3520... Generator Loss: 0.6122 Epoch 1/1... Batch 10170/12662.4375 Discriminator Loss: 1.2052... Generator Loss: 0.7447 Epoch 1/1... Batch 10180/12662.4375 Discriminator Loss: 1.4021... Generator Loss: 0.5986 Epoch 1/1... Batch 10190/12662.4375 Discriminator Loss: 1.3502... Generator Loss: 0.5530 Epoch 1/1... Batch 10200/12662.4375 Discriminator Loss: 1.0994... Generator Loss: 0.7315
Epoch 1/1... Batch 10210/12662.4375 Discriminator Loss: 1.2408... Generator Loss: 0.6703 Epoch 1/1... Batch 10220/12662.4375 Discriminator Loss: 1.2709... Generator Loss: 0.7537 Epoch 1/1... Batch 10230/12662.4375 Discriminator Loss: 1.4176... Generator Loss: 0.6465 Epoch 1/1... Batch 10240/12662.4375 Discriminator Loss: 1.3062... Generator Loss: 0.6820 Epoch 1/1... Batch 10250/12662.4375 Discriminator Loss: 1.3968... Generator Loss: 0.7052 Epoch 1/1... Batch 10260/12662.4375 Discriminator Loss: 1.2729... Generator Loss: 0.7322 Epoch 1/1... Batch 10270/12662.4375 Discriminator Loss: 1.5381... Generator Loss: 0.5123 Epoch 1/1... Batch 10280/12662.4375 Discriminator Loss: 1.3913... Generator Loss: 0.6978 Epoch 1/1... Batch 10290/12662.4375 Discriminator Loss: 1.3134... Generator Loss: 0.6370 Epoch 1/1... Batch 10300/12662.4375 Discriminator Loss: 1.4639... Generator Loss: 0.5765
Epoch 1/1... Batch 10310/12662.4375 Discriminator Loss: 1.3102... Generator Loss: 0.5937 Epoch 1/1... Batch 10320/12662.4375 Discriminator Loss: 1.4332... Generator Loss: 0.7313 Epoch 1/1... Batch 10330/12662.4375 Discriminator Loss: 1.2331... Generator Loss: 0.6475 Epoch 1/1... Batch 10340/12662.4375 Discriminator Loss: 1.3319... Generator Loss: 0.6199 Epoch 1/1... Batch 10350/12662.4375 Discriminator Loss: 1.2022... Generator Loss: 0.7744 Epoch 1/1... Batch 10360/12662.4375 Discriminator Loss: 1.1885... Generator Loss: 0.7090 Epoch 1/1... Batch 10370/12662.4375 Discriminator Loss: 1.4141... Generator Loss: 0.6251 Epoch 1/1... Batch 10380/12662.4375 Discriminator Loss: 1.2212... Generator Loss: 0.5837 Epoch 1/1... Batch 10390/12662.4375 Discriminator Loss: 1.4171... Generator Loss: 0.6060 Epoch 1/1... Batch 10400/12662.4375 Discriminator Loss: 1.0782... Generator Loss: 0.7120
Epoch 1/1... Batch 10410/12662.4375 Discriminator Loss: 1.1880... Generator Loss: 0.6787 Epoch 1/1... Batch 10420/12662.4375 Discriminator Loss: 1.3146... Generator Loss: 0.6825 Epoch 1/1... Batch 10430/12662.4375 Discriminator Loss: 1.3610... Generator Loss: 0.7007 Epoch 1/1... Batch 10440/12662.4375 Discriminator Loss: 1.2481... Generator Loss: 0.6401 Epoch 1/1... Batch 10450/12662.4375 Discriminator Loss: 1.2824... Generator Loss: 0.6452 Epoch 1/1... Batch 10460/12662.4375 Discriminator Loss: 1.3727... Generator Loss: 0.5902 Epoch 1/1... Batch 10470/12662.4375 Discriminator Loss: 1.9316... Generator Loss: 0.5279 Epoch 1/1... Batch 10480/12662.4375 Discriminator Loss: 1.1748... Generator Loss: 0.7187 Epoch 1/1... Batch 10490/12662.4375 Discriminator Loss: 1.5668... Generator Loss: 0.4895 Epoch 1/1... Batch 10500/12662.4375 Discriminator Loss: 1.3140... Generator Loss: 0.6202
Epoch 1/1... Batch 10510/12662.4375 Discriminator Loss: 1.2962... Generator Loss: 0.6198 Epoch 1/1... Batch 10520/12662.4375 Discriminator Loss: 1.3475... Generator Loss: 0.6256 Epoch 1/1... Batch 10530/12662.4375 Discriminator Loss: 1.1110... Generator Loss: 0.7291 Epoch 1/1... Batch 10540/12662.4375 Discriminator Loss: 1.2607... Generator Loss: 0.6677 Epoch 1/1... Batch 10550/12662.4375 Discriminator Loss: 1.2712... Generator Loss: 0.6395 Epoch 1/1... Batch 10560/12662.4375 Discriminator Loss: 1.4519... Generator Loss: 0.5952 Epoch 1/1... Batch 10570/12662.4375 Discriminator Loss: 1.3516... Generator Loss: 0.6230 Epoch 1/1... Batch 10580/12662.4375 Discriminator Loss: 1.4235... Generator Loss: 0.5556 Epoch 1/1... Batch 10590/12662.4375 Discriminator Loss: 1.3291... Generator Loss: 0.6223 Epoch 1/1... Batch 10600/12662.4375 Discriminator Loss: 1.3078... Generator Loss: 0.8108
Epoch 1/1... Batch 10610/12662.4375 Discriminator Loss: 1.3479... Generator Loss: 0.7213 Epoch 1/1... Batch 10620/12662.4375 Discriminator Loss: 1.4758... Generator Loss: 0.5606 Epoch 1/1... Batch 10630/12662.4375 Discriminator Loss: 1.0744... Generator Loss: 0.8646 Epoch 1/1... Batch 10640/12662.4375 Discriminator Loss: 1.1857... Generator Loss: 0.7949 Epoch 1/1... Batch 10650/12662.4375 Discriminator Loss: 1.3225... Generator Loss: 0.5639 Epoch 1/1... Batch 10660/12662.4375 Discriminator Loss: 1.6076... Generator Loss: 0.6522 Epoch 1/1... Batch 10670/12662.4375 Discriminator Loss: 1.3088... Generator Loss: 0.6818 Epoch 1/1... Batch 10680/12662.4375 Discriminator Loss: 1.3016... Generator Loss: 0.6253 Epoch 1/1... Batch 10690/12662.4375 Discriminator Loss: 1.1452... Generator Loss: 0.7311 Epoch 1/1... Batch 10700/12662.4375 Discriminator Loss: 1.4671... Generator Loss: 0.5142
Epoch 1/1... Batch 10710/12662.4375 Discriminator Loss: 1.2072... Generator Loss: 0.7485 Epoch 1/1... Batch 10720/12662.4375 Discriminator Loss: 1.4755... Generator Loss: 0.4581 Epoch 1/1... Batch 10730/12662.4375 Discriminator Loss: 1.0748... Generator Loss: 0.7989 Epoch 1/1... Batch 10740/12662.4375 Discriminator Loss: 1.3255... Generator Loss: 0.5837 Epoch 1/1... Batch 10750/12662.4375 Discriminator Loss: 1.3531... Generator Loss: 0.5687 Epoch 1/1... Batch 10760/12662.4375 Discriminator Loss: 1.2746... Generator Loss: 0.6684 Epoch 1/1... Batch 10770/12662.4375 Discriminator Loss: 1.5452... Generator Loss: 0.6023 Epoch 1/1... Batch 10780/12662.4375 Discriminator Loss: 1.2667... Generator Loss: 0.6207 Epoch 1/1... Batch 10790/12662.4375 Discriminator Loss: 1.2769... Generator Loss: 0.6952 Epoch 1/1... Batch 10800/12662.4375 Discriminator Loss: 1.5057... Generator Loss: 0.5615
Epoch 1/1... Batch 10810/12662.4375 Discriminator Loss: 1.3969... Generator Loss: 0.6512 Epoch 1/1... Batch 10820/12662.4375 Discriminator Loss: 1.3405... Generator Loss: 0.6552 Epoch 1/1... Batch 10830/12662.4375 Discriminator Loss: 1.2747... Generator Loss: 0.6548 Epoch 1/1... Batch 10840/12662.4375 Discriminator Loss: 1.4485... Generator Loss: 0.6782 Epoch 1/1... Batch 10850/12662.4375 Discriminator Loss: 1.4212... Generator Loss: 0.4724 Epoch 1/1... Batch 10860/12662.4375 Discriminator Loss: 1.4307... Generator Loss: 0.5632 Epoch 1/1... Batch 10870/12662.4375 Discriminator Loss: 1.5613... Generator Loss: 0.5143 Epoch 1/1... Batch 10880/12662.4375 Discriminator Loss: 1.4124... Generator Loss: 0.5706 Epoch 1/1... Batch 10890/12662.4375 Discriminator Loss: 1.2868... Generator Loss: 0.6325 Epoch 1/1... Batch 10900/12662.4375 Discriminator Loss: 1.2667... Generator Loss: 0.6573
Epoch 1/1... Batch 10910/12662.4375 Discriminator Loss: 1.3835... Generator Loss: 0.4910 Epoch 1/1... Batch 10920/12662.4375 Discriminator Loss: 1.4615... Generator Loss: 0.5692 Epoch 1/1... Batch 10930/12662.4375 Discriminator Loss: 1.2828... Generator Loss: 0.7011 Epoch 1/1... Batch 10940/12662.4375 Discriminator Loss: 1.7125... Generator Loss: 0.5128 Epoch 1/1... Batch 10950/12662.4375 Discriminator Loss: 1.0545... Generator Loss: 0.7335 Epoch 1/1... Batch 10960/12662.4375 Discriminator Loss: 1.3835... Generator Loss: 0.5906 Epoch 1/1... Batch 10970/12662.4375 Discriminator Loss: 1.5079... Generator Loss: 0.5911 Epoch 1/1... Batch 10980/12662.4375 Discriminator Loss: 1.3247... Generator Loss: 0.6702 Epoch 1/1... Batch 10990/12662.4375 Discriminator Loss: 1.0935... Generator Loss: 0.7549 Epoch 1/1... Batch 11000/12662.4375 Discriminator Loss: 1.5170... Generator Loss: 0.6565
Epoch 1/1... Batch 11010/12662.4375 Discriminator Loss: 1.0899... Generator Loss: 0.8525 Epoch 1/1... Batch 11020/12662.4375 Discriminator Loss: 1.3250... Generator Loss: 0.5391 Epoch 1/1... Batch 11030/12662.4375 Discriminator Loss: 1.2472... Generator Loss: 0.6217 Epoch 1/1... Batch 11040/12662.4375 Discriminator Loss: 1.2216... Generator Loss: 0.6251 Epoch 1/1... Batch 11050/12662.4375 Discriminator Loss: 1.1708... Generator Loss: 0.6464 Epoch 1/1... Batch 11060/12662.4375 Discriminator Loss: 1.5885... Generator Loss: 0.4987 Epoch 1/1... Batch 11070/12662.4375 Discriminator Loss: 1.4387... Generator Loss: 0.5907 Epoch 1/1... Batch 11080/12662.4375 Discriminator Loss: 1.4345... Generator Loss: 0.7193 Epoch 1/1... Batch 11090/12662.4375 Discriminator Loss: 1.2781... Generator Loss: 0.6309 Epoch 1/1... Batch 11100/12662.4375 Discriminator Loss: 1.2958... Generator Loss: 0.6347
Epoch 1/1... Batch 11110/12662.4375 Discriminator Loss: 1.2949... Generator Loss: 0.6485 Epoch 1/1... Batch 11120/12662.4375 Discriminator Loss: 1.0980... Generator Loss: 0.8065 Epoch 1/1... Batch 11130/12662.4375 Discriminator Loss: 1.4945... Generator Loss: 0.6003 Epoch 1/1... Batch 11140/12662.4375 Discriminator Loss: 1.2740... Generator Loss: 0.5819 Epoch 1/1... Batch 11150/12662.4375 Discriminator Loss: 1.1986... Generator Loss: 0.6898 Epoch 1/1... Batch 11160/12662.4375 Discriminator Loss: 1.4527... Generator Loss: 0.6199 Epoch 1/1... Batch 11170/12662.4375 Discriminator Loss: 1.0670... Generator Loss: 0.7182 Epoch 1/1... Batch 11180/12662.4375 Discriminator Loss: 1.2066... Generator Loss: 0.6842 Epoch 1/1... Batch 11190/12662.4375 Discriminator Loss: 1.4085... Generator Loss: 0.4594 Epoch 1/1... Batch 11200/12662.4375 Discriminator Loss: 1.5921... Generator Loss: 0.5991
Epoch 1/1... Batch 11210/12662.4375 Discriminator Loss: 1.2518... Generator Loss: 0.7070 Epoch 1/1... Batch 11220/12662.4375 Discriminator Loss: 1.2750... Generator Loss: 0.6472 Epoch 1/1... Batch 11230/12662.4375 Discriminator Loss: 1.5976... Generator Loss: 0.4826 Epoch 1/1... Batch 11240/12662.4375 Discriminator Loss: 1.4326... Generator Loss: 0.5772 Epoch 1/1... Batch 11250/12662.4375 Discriminator Loss: 1.3272... Generator Loss: 0.5652 Epoch 1/1... Batch 11260/12662.4375 Discriminator Loss: 1.5789... Generator Loss: 0.4655 Epoch 1/1... Batch 11270/12662.4375 Discriminator Loss: 1.3891... Generator Loss: 0.5427 Epoch 1/1... Batch 11280/12662.4375 Discriminator Loss: 1.0084... Generator Loss: 0.7631 Epoch 1/1... Batch 11290/12662.4375 Discriminator Loss: 1.2023... Generator Loss: 0.5816 Epoch 1/1... Batch 11300/12662.4375 Discriminator Loss: 1.5888... Generator Loss: 0.5048
Epoch 1/1... Batch 11310/12662.4375 Discriminator Loss: 1.4674... Generator Loss: 0.5427 Epoch 1/1... Batch 11320/12662.4375 Discriminator Loss: 1.4569... Generator Loss: 0.5871 Epoch 1/1... Batch 11330/12662.4375 Discriminator Loss: 1.2939... Generator Loss: 0.6995 Epoch 1/1... Batch 11340/12662.4375 Discriminator Loss: 1.1083... Generator Loss: 0.7074 Epoch 1/1... Batch 11350/12662.4375 Discriminator Loss: 1.3012... Generator Loss: 0.6822 Epoch 1/1... Batch 11360/12662.4375 Discriminator Loss: 1.3369... Generator Loss: 0.6720 Epoch 1/1... Batch 11370/12662.4375 Discriminator Loss: 1.4629... Generator Loss: 0.4857 Epoch 1/1... Batch 11380/12662.4375 Discriminator Loss: 1.4131... Generator Loss: 0.6025 Epoch 1/1... Batch 11390/12662.4375 Discriminator Loss: 1.4119... Generator Loss: 0.6405 Epoch 1/1... Batch 11400/12662.4375 Discriminator Loss: 1.3382... Generator Loss: 0.7212
Epoch 1/1... Batch 11410/12662.4375 Discriminator Loss: 1.2575... Generator Loss: 0.7895 Epoch 1/1... Batch 11420/12662.4375 Discriminator Loss: 1.2943... Generator Loss: 0.6594 Epoch 1/1... Batch 11430/12662.4375 Discriminator Loss: 1.3987... Generator Loss: 0.6432 Epoch 1/1... Batch 11440/12662.4375 Discriminator Loss: 1.2277... Generator Loss: 0.6545 Epoch 1/1... Batch 11450/12662.4375 Discriminator Loss: 1.1394... Generator Loss: 0.8734 Epoch 1/1... Batch 11460/12662.4375 Discriminator Loss: 1.1510... Generator Loss: 0.6659 Epoch 1/1... Batch 11470/12662.4375 Discriminator Loss: 1.1854... Generator Loss: 0.7381 Epoch 1/1... Batch 11480/12662.4375 Discriminator Loss: 1.3243... Generator Loss: 0.6487 Epoch 1/1... Batch 11490/12662.4375 Discriminator Loss: 1.1712... Generator Loss: 0.7367 Epoch 1/1... Batch 11500/12662.4375 Discriminator Loss: 1.3197... Generator Loss: 0.7245
Epoch 1/1... Batch 11510/12662.4375 Discriminator Loss: 1.0969... Generator Loss: 0.8309 Epoch 1/1... Batch 11520/12662.4375 Discriminator Loss: 1.4221... Generator Loss: 0.5418 Epoch 1/1... Batch 11530/12662.4375 Discriminator Loss: 1.3780... Generator Loss: 0.6721 Epoch 1/1... Batch 11540/12662.4375 Discriminator Loss: 1.2049... Generator Loss: 0.6164 Epoch 1/1... Batch 11550/12662.4375 Discriminator Loss: 1.2911... Generator Loss: 0.6744 Epoch 1/1... Batch 11560/12662.4375 Discriminator Loss: 1.4703... Generator Loss: 0.5365 Epoch 1/1... Batch 11570/12662.4375 Discriminator Loss: 1.3216... Generator Loss: 0.7524 Epoch 1/1... Batch 11580/12662.4375 Discriminator Loss: 1.2439... Generator Loss: 0.6098 Epoch 1/1... Batch 11590/12662.4375 Discriminator Loss: 1.3499... Generator Loss: 0.6606 Epoch 1/1... Batch 11600/12662.4375 Discriminator Loss: 1.2703... Generator Loss: 0.6406
Epoch 1/1... Batch 11610/12662.4375 Discriminator Loss: 1.3390... Generator Loss: 0.6368 Epoch 1/1... Batch 11620/12662.4375 Discriminator Loss: 1.1706... Generator Loss: 0.7457 Epoch 1/1... Batch 11630/12662.4375 Discriminator Loss: 1.1651... Generator Loss: 0.7069 Epoch 1/1... Batch 11640/12662.4375 Discriminator Loss: 1.3996... Generator Loss: 0.5891 Epoch 1/1... Batch 11650/12662.4375 Discriminator Loss: 0.9017... Generator Loss: 0.9715 Epoch 1/1... Batch 11660/12662.4375 Discriminator Loss: 1.2203... Generator Loss: 0.5870 Epoch 1/1... Batch 11670/12662.4375 Discriminator Loss: 1.3443... Generator Loss: 0.7089 Epoch 1/1... Batch 11680/12662.4375 Discriminator Loss: 1.7001... Generator Loss: 0.5195 Epoch 1/1... Batch 11690/12662.4375 Discriminator Loss: 1.5351... Generator Loss: 0.4680 Epoch 1/1... Batch 11700/12662.4375 Discriminator Loss: 1.1925... Generator Loss: 0.6283
Epoch 1/1... Batch 11710/12662.4375 Discriminator Loss: 1.4048... Generator Loss: 0.5306 Epoch 1/1... Batch 11720/12662.4375 Discriminator Loss: 1.2366... Generator Loss: 0.6730 Epoch 1/1... Batch 11730/12662.4375 Discriminator Loss: 1.2416... Generator Loss: 0.6031 Epoch 1/1... Batch 11740/12662.4375 Discriminator Loss: 1.3062... Generator Loss: 0.6642 Epoch 1/1... Batch 11750/12662.4375 Discriminator Loss: 1.4133... Generator Loss: 0.5153 Epoch 1/1... Batch 11760/12662.4375 Discriminator Loss: 1.3411... Generator Loss: 0.6212 Epoch 1/1... Batch 11770/12662.4375 Discriminator Loss: 1.4908... Generator Loss: 0.5464 Epoch 1/1... Batch 11780/12662.4375 Discriminator Loss: 1.1513... Generator Loss: 0.7089 Epoch 1/1... Batch 11790/12662.4375 Discriminator Loss: 1.2454... Generator Loss: 0.6608 Epoch 1/1... Batch 11800/12662.4375 Discriminator Loss: 1.3721... Generator Loss: 0.5573
Epoch 1/1... Batch 11810/12662.4375 Discriminator Loss: 1.4716... Generator Loss: 0.5121 Epoch 1/1... Batch 11820/12662.4375 Discriminator Loss: 1.1789... Generator Loss: 0.6400 Epoch 1/1... Batch 11830/12662.4375 Discriminator Loss: 1.2457... Generator Loss: 0.6679 Epoch 1/1... Batch 11840/12662.4375 Discriminator Loss: 1.6024... Generator Loss: 0.4843 Epoch 1/1... Batch 11850/12662.4375 Discriminator Loss: 1.3279... Generator Loss: 0.6478 Epoch 1/1... Batch 11860/12662.4375 Discriminator Loss: 1.3818... Generator Loss: 0.4911 Epoch 1/1... Batch 11870/12662.4375 Discriminator Loss: 1.5012... Generator Loss: 0.5386 Epoch 1/1... Batch 11880/12662.4375 Discriminator Loss: 1.4540... Generator Loss: 0.5268 Epoch 1/1... Batch 11890/12662.4375 Discriminator Loss: 1.1125... Generator Loss: 0.8153 Epoch 1/1... Batch 11900/12662.4375 Discriminator Loss: 1.3335... Generator Loss: 0.6267
Epoch 1/1... Batch 11910/12662.4375 Discriminator Loss: 1.5422... Generator Loss: 0.5406 Epoch 1/1... Batch 11920/12662.4375 Discriminator Loss: 1.4195... Generator Loss: 0.5472 Epoch 1/1... Batch 11930/12662.4375 Discriminator Loss: 1.4324... Generator Loss: 0.5801 Epoch 1/1... Batch 11940/12662.4375 Discriminator Loss: 1.2612... Generator Loss: 0.5671 Epoch 1/1... Batch 11950/12662.4375 Discriminator Loss: 1.6146... Generator Loss: 0.5610 Epoch 1/1... Batch 11960/12662.4375 Discriminator Loss: 1.0087... Generator Loss: 0.8247 Epoch 1/1... Batch 11970/12662.4375 Discriminator Loss: 1.5261... Generator Loss: 0.5237 Epoch 1/1... Batch 11980/12662.4375 Discriminator Loss: 1.3649... Generator Loss: 0.6473 Epoch 1/1... Batch 11990/12662.4375 Discriminator Loss: 1.2789... Generator Loss: 0.6304 Epoch 1/1... Batch 12000/12662.4375 Discriminator Loss: 1.3155... Generator Loss: 0.5434
Epoch 1/1... Batch 12010/12662.4375 Discriminator Loss: 1.1864... Generator Loss: 0.6346 Epoch 1/1... Batch 12020/12662.4375 Discriminator Loss: 1.4018... Generator Loss: 0.5565 Epoch 1/1... Batch 12030/12662.4375 Discriminator Loss: 1.1929... Generator Loss: 0.6291 Epoch 1/1... Batch 12040/12662.4375 Discriminator Loss: 1.2788... Generator Loss: 0.6452 Epoch 1/1... Batch 12050/12662.4375 Discriminator Loss: 1.4495... Generator Loss: 0.6572 Epoch 1/1... Batch 12060/12662.4375 Discriminator Loss: 1.2145... Generator Loss: 0.7191 Epoch 1/1... Batch 12070/12662.4375 Discriminator Loss: 1.4798... Generator Loss: 0.4321 Epoch 1/1... Batch 12080/12662.4375 Discriminator Loss: 1.5785... Generator Loss: 0.5082 Epoch 1/1... Batch 12090/12662.4375 Discriminator Loss: 1.3172... Generator Loss: 0.7115 Epoch 1/1... Batch 12100/12662.4375 Discriminator Loss: 1.3504... Generator Loss: 0.5242
Epoch 1/1... Batch 12110/12662.4375 Discriminator Loss: 1.5285... Generator Loss: 0.4904 Epoch 1/1... Batch 12120/12662.4375 Discriminator Loss: 1.3123... Generator Loss: 0.7079 Epoch 1/1... Batch 12130/12662.4375 Discriminator Loss: 1.0863... Generator Loss: 0.7795 Epoch 1/1... Batch 12140/12662.4375 Discriminator Loss: 1.3464... Generator Loss: 0.6198 Epoch 1/1... Batch 12150/12662.4375 Discriminator Loss: 1.3417... Generator Loss: 0.5514 Epoch 1/1... Batch 12160/12662.4375 Discriminator Loss: 1.1589... Generator Loss: 0.6169 Epoch 1/1... Batch 12170/12662.4375 Discriminator Loss: 1.5137... Generator Loss: 0.5229 Epoch 1/1... Batch 12180/12662.4375 Discriminator Loss: 1.3098... Generator Loss: 0.5694 Epoch 1/1... Batch 12190/12662.4375 Discriminator Loss: 1.0836... Generator Loss: 0.8275 Epoch 1/1... Batch 12200/12662.4375 Discriminator Loss: 1.3811... Generator Loss: 0.6405
Epoch 1/1... Batch 12210/12662.4375 Discriminator Loss: 1.3683... Generator Loss: 0.6612 Epoch 1/1... Batch 12220/12662.4375 Discriminator Loss: 1.3049... Generator Loss: 0.6638 Epoch 1/1... Batch 12230/12662.4375 Discriminator Loss: 1.2063... Generator Loss: 0.6164 Epoch 1/1... Batch 12240/12662.4375 Discriminator Loss: 1.4092... Generator Loss: 0.6568 Epoch 1/1... Batch 12250/12662.4375 Discriminator Loss: 1.0760... Generator Loss: 0.7427 Epoch 1/1... Batch 12260/12662.4375 Discriminator Loss: 1.2452... Generator Loss: 0.6504 Epoch 1/1... Batch 12270/12662.4375 Discriminator Loss: 1.1366... Generator Loss: 0.7463 Epoch 1/1... Batch 12280/12662.4375 Discriminator Loss: 1.2942... Generator Loss: 0.6541 Epoch 1/1... Batch 12290/12662.4375 Discriminator Loss: 1.2296... Generator Loss: 0.6210 Epoch 1/1... Batch 12300/12662.4375 Discriminator Loss: 1.0600... Generator Loss: 0.6974
Epoch 1/1... Batch 12310/12662.4375 Discriminator Loss: 1.1182... Generator Loss: 0.8134 Epoch 1/1... Batch 12320/12662.4375 Discriminator Loss: 1.2676... Generator Loss: 0.6838 Epoch 1/1... Batch 12330/12662.4375 Discriminator Loss: 1.3298... Generator Loss: 0.5580 Epoch 1/1... Batch 12340/12662.4375 Discriminator Loss: 1.4405... Generator Loss: 0.5388 Epoch 1/1... Batch 12350/12662.4375 Discriminator Loss: 1.5767... Generator Loss: 0.4890 Epoch 1/1... Batch 12360/12662.4375 Discriminator Loss: 1.4393... Generator Loss: 0.4916 Epoch 1/1... Batch 12370/12662.4375 Discriminator Loss: 1.2619... Generator Loss: 0.6914 Epoch 1/1... Batch 12380/12662.4375 Discriminator Loss: 1.3301... Generator Loss: 0.6096 Epoch 1/1... Batch 12390/12662.4375 Discriminator Loss: 1.2870... Generator Loss: 0.7212 Epoch 1/1... Batch 12400/12662.4375 Discriminator Loss: 1.1995... Generator Loss: 0.6908
Epoch 1/1... Batch 12410/12662.4375 Discriminator Loss: 1.3949... Generator Loss: 0.5502 Epoch 1/1... Batch 12420/12662.4375 Discriminator Loss: 1.1083... Generator Loss: 0.7418 Epoch 1/1... Batch 12430/12662.4375 Discriminator Loss: 1.2370... Generator Loss: 0.6126 Epoch 1/1... Batch 12440/12662.4375 Discriminator Loss: 1.5891... Generator Loss: 0.5455 Epoch 1/1... Batch 12450/12662.4375 Discriminator Loss: 1.2044... Generator Loss: 0.6966 Epoch 1/1... Batch 12460/12662.4375 Discriminator Loss: 1.4802... Generator Loss: 0.4627 Epoch 1/1... Batch 12470/12662.4375 Discriminator Loss: 1.2019... Generator Loss: 0.7139 Epoch 1/1... Batch 12480/12662.4375 Discriminator Loss: 1.3743... Generator Loss: 0.7089 Epoch 1/1... Batch 12490/12662.4375 Discriminator Loss: 1.1529... Generator Loss: 0.6615 Epoch 1/1... Batch 12500/12662.4375 Discriminator Loss: 1.2519... Generator Loss: 0.5851
Epoch 1/1... Batch 12510/12662.4375 Discriminator Loss: 1.6479... Generator Loss: 0.4168 Epoch 1/1... Batch 12520/12662.4375 Discriminator Loss: 1.7514... Generator Loss: 0.4371 Epoch 1/1... Batch 12530/12662.4375 Discriminator Loss: 1.1228... Generator Loss: 0.7012 Epoch 1/1... Batch 12540/12662.4375 Discriminator Loss: 1.3550... Generator Loss: 0.6617 Epoch 1/1... Batch 12550/12662.4375 Discriminator Loss: 1.2561... Generator Loss: 0.5772 Epoch 1/1... Batch 12560/12662.4375 Discriminator Loss: 1.0479... Generator Loss: 0.8074 Epoch 1/1... Batch 12570/12662.4375 Discriminator Loss: 1.1543... Generator Loss: 0.7181 Epoch 1/1... Batch 12580/12662.4375 Discriminator Loss: 1.1933... Generator Loss: 0.5804 Epoch 1/1... Batch 12590/12662.4375 Discriminator Loss: 1.2990... Generator Loss: 0.6561 Epoch 1/1... Batch 12600/12662.4375 Discriminator Loss: 1.2177... Generator Loss: 0.7626
Epoch 1/1... Batch 12610/12662.4375 Discriminator Loss: 1.2803... Generator Loss: 0.6612 Epoch 1/1... Batch 12620/12662.4375 Discriminator Loss: 1.4245... Generator Loss: 0.5738 Epoch 1/1... Batch 12630/12662.4375 Discriminator Loss: 1.2279... Generator Loss: 0.6009 Epoch 1/1... Batch 12640/12662.4375 Discriminator Loss: 1.3292... Generator Loss: 0.6086 Epoch 1/1... Batch 12650/12662.4375 Discriminator Loss: 1.4703... Generator Loss: 0.5848 Epoch 1/1... Batch 12660/12662.4375 Discriminator Loss: 1.3286... Generator Loss: 0.6678
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.